Statistical Programming (Section: G2) by Jungbae Kim https://padlet.com/jungbaekim/r1ydhy1x9f73v42h Group Presentation en-us 2022-04-04 03:19:48 UTC 2025-10-01 01:48:42 UTC hello@padlet.com mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128176794 Good analysis, may I know if you found any factors that were only really strong in certain industries due to the industry characteristics?]]> 2022-04-04 07:51:18 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128176794 yinjingyuan https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128177262 Thank you for the presentation. May I ask why you use your judgement rather than the VIF measure to find collinearity between the variables and remove those variables in the multiple variable regression?]]> 2022-04-04 07:51:42 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128177262 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128177304 Thanks for the presentation. Im wondering how did you guys decide on the key industries mentioned in the first slide? Would some industries be more significant than others in determining escore?]]> 2022-04-04 07:51:44 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128177304 kellyann2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178582 Thank you for the great presentation! I think your group mentioned that classification tree cannot be applied to e-score since its a continuous variable. Perhaps you could consider breaking down e-score into a few classes (discrete) to further supplement your regression analysis.

-on behalf of group 7 ]]> 2022-04-04 07:52:48 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178582 chugekchew2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178628 Hi Group 8! Thanks for the insightful presentation :) Just wanted to ask if you had developed hypotheses before selecting your IVs?]]> 2022-04-04 07:52:50 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178628 Hi Group 8, thank you very much for the insightful presentation. There seems to be quite a lot of key insights into the various independent variables you have chosen. I would like to ask if there there could be possible multicollinearity between your independent variables. Would like to ask if there are any issues with the VIF between these Independent variabels also. Would also like to know if you run a multiple linear regression with all the variables and noticed any insignificant variables? Thank you! tywong2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178697 2022-04-04 07:52:54 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128178697 Feedback jenzenkay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128182732 Great presentation with a logical flow of sequence! While some slides on coding were a bit cluttered, the presenters did well in bringing the class through the key points.

Wanted to understand if the group considered applying e_score together with the predicted IVs to a classification tree for further analysis? ]]> 2022-04-04 07:56:11 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128182732 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128183406 Hi Group 8, thanks for your presentation! However I was wondering, if the classification tree was considered as it is possible to transform the continuous variable into a discreet one! Thank you!]]> 2022-04-04 07:56:46 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128183406 Thanks! joelynkho2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128184293 Hi Group 8, thank you for your time in preparing the presentation! :)
  • I would like to commend your Box plot for each industry as it shows a good overview and the position of each industry as it is a different data visualisation we would have learnt in class
  • It was very thorough and precise as you had conducted a specific regression for each variable to show individual variable relation with ESG
  • Just for curiosity, I would like to ask if you had filtered out your data initially, would it have an impact on your further analyses? 
]]> 2022-04-04 07:57:28 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128184293 celinehooi2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128184523 Hi Group 8, thanks for your presentation! I like the boxplot you generated for each industry to see e-score, as it provides a clear visualization at a glance. I also like that your slides are detailed and easy to follow, eg: breaking the analysis of SLR into 4 clear and detailed steps. :)]]> 2022-04-04 07:57:39 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128184523 Feedback xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128185721 Hi Group 8, thanks for your presentation! However I was wondering, if the classification tree was considered as it is possible to transform the continuous variable into a discreet one! Thank you!]]> 2022-04-04 07:58:32 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128185721 samueltan2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128186363 Great insights! Would have been nice to see endogeneity-mitigating analysis such as with a lead variable for e_score. ]]> 2022-04-04 07:59:00 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128186363 jeswinleo https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128188549 Hi Group 8! I think it is insightful that you have separated the analysis into industries so that there is more specific recommendations tailored. Would like to know why y’all replaced N/A with 0 instead of industry average (if there were any particular reasons)?]]> 2022-04-04 08:00:49 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128188549 suxianng2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128191848 Thank you for the presentation! I like that your slides were detailed and enjoy to follow, also the presentation was clear! ]]> 2022-04-04 08:03:41 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128191848 Feedback https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128198367 Hi group 8, 

Thanks for your presentation, it was detailed and clear. However, noticed that yall choose a number of variables. Just curious would any multicollinearity be present among the variables?]]> 2022-04-04 08:09:11 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128198367 yinjingyuan https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205393 Thank you for the presentation. May I ask whether there are multicollinearity for the financial measures used to predict whether the companies have an e-score?]]> 2022-04-04 08:14:22 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205393 denzelpak https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205509 Thank you for your presentation! 

I just had one question for you guys:

When you mentioned how a company being very "out-there"/prominent was a factor in how likely they were to provide an e-score, how did you determine which companies were prominent and which companies weren't?
]]> 2022-04-04 08:14:29 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205509 jeswinleo https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205915 Hi group 4! I liked the organisation of your presentation and in-depth analysis of what kind of companies report e_scores. It was good that y’all explored both internal and external factors in detail. I would also like to know if you have any recommendations for smaller companies that don’t have as much incentive to report e_score?]]> 2022-04-04 08:14:46 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128205915 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206291 Hi, thank you for the presentation. Your slides are nice! I see that you used log for the scalling, were they right skewed? If they are not, any particular reason for using log instead of squared?]]> 2022-04-04 08:15:00 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206291 celinehooi2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206516 Hi Group 4! Thank you for the insightful presentation. I just wanted to check, if you changed the NA score to 0, would it be more meaningful to drop the data entirely? Also, understood that you logged the mv_crsp variable, but was the purpose to reduce the complexity of the data or because you identified that the variable was skewed?]]> 2022-04-04 08:15:12 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206516 jordanyap2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206601 Thank you for your presentation! Can I ask when your group chose to remove the N.A. values for the financial ratios, will it affect any regression / analysis models that you do on the dataset thereafter?]]> 2022-04-04 08:15:17 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206601 joelynkho2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206791 Hi Group 4, thank you for your time in preparing the presentation! :)

The presentation was very clear and precise as it shows good thinking from your team, to replace missing values with industry average, however, I would like to ask will the original data still be considered as accurate since the average will be affected?
]]> 2022-04-04 08:15:23 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128206791 mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128207554 Great analysis and insights Team 4. Perhaps you can also explain how your 6 recommendations at the end were derived from your two regression results and classification tree.]]> 2022-04-04 08:16:05 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128207554 Feedback jenzenkay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128208532 Great presentation with a lot of insights from the team!

Wanted to ask whether it would be better to drop missing values instead of replacing it with industry average? ]]> 2022-04-04 08:16:53 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128208532 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209087 Hi, thanks for the presentation. The suggestions for improving escore were insightful. Could I clarify what criteria did you use for selecting significant variables before doing the regression? ie. why would assets or income be selected over another variable like staff expense(xlr)?]]> 2022-04-04 08:17:17 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209087 suxianng2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209115 Thank you for the presentation! It was insightful and clear. I'm just wondering why did your group decide to use minsplit of 500? ]]> 2022-04-04 08:17:19 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209115 Feedback xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209804 Hi Group 4, Thank you for your presentation. May I check whether the data has been cleaned as this would affect classification tree results. Personally, I feel changing to zero may affect the integrity of the results.]]> 2022-04-04 08:17:51 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209804 edwardtay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209976 Thanks for the presentation! I felt that the flow of the slides was really smooth. In particular, the recommendations given were interesting and the links were well drawn. I also like that there were many model companies given across the various industries.]]> 2022-04-04 08:17:59 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128209976 gwcheng2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128210010 Thank you for the presentation! May I ask if it would be better to use the industrial average for the N.A. values instead of dropping them as dropping the companies with no e_scores already reduces the sample size quite significantly?]]> 2022-04-04 08:18:01 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128210010 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128212618 Hi Group 8, thanks for the presentation. I would just like to enquire why did you choose not to adopt the classification tree method given that you can convert the e_score into a dummy variable for analysis?

]]> 2022-04-04 08:20:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128212618 reefvertan2018 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128214089 Hello group 7! 
Thank you for the engaging presentation!
Why you choose to use clustering for in your analysis? We felt that it would not have been the most appropriate since it cannot really help us to predict e-score or ways to improve a company's e-score. Thank you! ]]> 2022-04-04 08:21:13 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128214089 gwcheng2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128216894 Hi thank you for your presentation. May I ask why your team chose to do winsorisation instead of logging the variables to maintain the integrity of the data?]]> 2022-04-04 08:23:24 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128216894 samueltan2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128220249 Great explanations of data cleaning and scaling. 

The recommendations were detailed and industry specific which was very nice :)]]> 2022-04-04 08:25:51 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128220249 yinjingyuan https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128220703 Thank you for the presentation. Maybe you can try to cut down the number of variables in the multi regression model to obtain more representative results for each variable?]]> 2022-04-04 08:26:13 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128220703 jeswinleo https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128221914 Hi group 7! Thank you for the presentation. It interesting to see y’all use clustering as a method of analysis. The winsorization plots were useful to visualise the effects of the technique as well. ]]> 2022-04-04 08:27:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128221914 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128222448 Hi, thank you for your presentation! Good logical flow! Any reason to use Adj R^2  and MAPE to compare the various models? As MAE (and ME) were usually compared with during the selection of models. ]]> 2022-04-04 08:27:25 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128222448 mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128222689 Great in-depth visualization and data exploration team 7. May I know why you chose not to do regressions by industry since you saw different trends of e score in different industries? ]]> 2022-04-04 08:27:35 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128222689 joannekoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128224734 Thanks for the presentation! May I ask why did you group not consider creating summary variables for score and thus use classification tree? But analysis via industry was good! thank you!

]]> 2022-04-04 08:29:02 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128224734 maxineho2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128228482 hey guys! thanks for the presentation u guys slayed!! :)) can i ask why ya'll used clustering? ]]> 2022-04-04 08:31:54 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128228482 celinehooi2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128229158 Hi Team 7, thank you for the presentation! Just wanted to check if your conclusion based on the classification tree were that smaller companies with fewer assets had a higher e-score. or companies with more assets had a higher e-score as I think what you concluded differed from the results of the tree regarding the at variable haha]]> 2022-04-04 08:32:25 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128229158 jordanyap2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128229187 Great presentation!! I would just like to know on what criteria did your group use to determine the ratios to be used in your project to be profit margin, quick ratio, debt ratio?]]> 2022-04-04 08:32:27 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128229187 Feedback rongchen2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128230335 Hi group 4, thankyou for your presentation!
Just wondering would it be better if you could provide suggestions specifically caters to different industries?]]> 2022-04-04 08:33:18 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128230335 Feedback xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128230973 Hi Group 7, Thank you for your presentation. May I ask what is the purpose of the clustering as there does not seem to be any usable data from the results (at least, based on the presentation)]]> 2022-04-04 08:33:40 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128230973 wtchiong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128231722 hello group 7! thank you for the presentation! just curious why the group decided to create debt ratio, quick ratio and profit margin as new IVs? ]]> 2022-04-04 08:34:13 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128231722 Feedback jenzenkay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128232965 Hi Group 7! Good presentation with a breakdown of recommendations for each industry.

Wanted to understand the reason for using clustering in the analysis? Not too sure how the results can be used.]]> 2022-04-04 08:35:10 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128232965 colintan2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128233041 Hi I just wanna ask for the scatterplot non-logged variables, how did you guys conclude that it was a positive linear relation?]]> 2022-04-04 08:35:13 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128233041 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128233975 Hi Group 7, interesting and comprehensive presentation. I would just like to clarify how does an increase in total assets lead to a higher e_score (as per your class. tree slide)?]]> 2022-04-04 08:35:44 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128233975 joannekoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234211 Thank you for the engaging presentation! The statistical analysis was very in-depth! May I ask why did your choose to use clustering for in your analysis and specifically, what insights did clustering provide towards your recommendations?]]> 2022-04-04 08:35:58 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234211 Feedback rongchen2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234407 Hi group 7, thanks for your presentation!
Just wondering what is the rationale behind of yall using clustering as one of your approaches? ]]> 2022-04-04 08:36:07 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234407 weijielim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234485 Hi! Thank you for the wonderful presentation! Just have a quick question here! Can I ask are there any particular reasons why you guys chose to analyze the three ratios: profit margin, quick ratio and debt ratio? instead of current ratio?]]> 2022-04-04 08:36:11 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234485 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234828 Thanks for the presentation. It was interesting to see the insights of e-score distribution by industry. However, how would this help in finding out the determinants of e-score?]]> 2022-04-04 08:36:27 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128234828 Hi group 7, thank you for the anlsysis, thank you for the industry analysis. Do you have any advice on for a company to improve its E-score as a non-fortune 100 company? tywong2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128235600 2022-04-04 08:37:08 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128235600 weang2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128236986 Hi Group 7, thanks for the presentation! The presentation was thorough yet clear! Can I just clarify why did your team choose to use the 3 new ratios as your new independent variables? Thank you!]]> 2022-04-04 08:38:17 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128236986 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128240644 Hi! Thank you for the presentation! It was very clear and insightful! I was wondering why your group chose to choose the variables first before conducting the data analysis, as it might impose certain biases on your regression model? -Samantha Tham]]> 2022-04-04 08:40:48 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128240644 Feedback https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128242037 Hi! great presentation, love the graphics! may I ask why your group chooses to do clustering? Not sure if it gives insights on determinants of escore! -Samantha Tham]]> 2022-04-04 08:41:54 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128242037 siujootong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128242643 Thanks for the interesting presentation!

Can I check if there were other ratios that you guys considered before settling on the 3 that you guys have?]]> 2022-04-04 08:42:23 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128242643 keithlim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128260203 Hello group 6, thank you so much for the great presentation. For the selection of variables based on what appeared after looking at all 3 models, you explained that you dropped xrd & capx. However, we noted that sales was added into the final model as well. Is there a reason why that was so? Thank you!

- On behalf of group 7]]> 2022-04-04 08:54:58 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128260203 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262810 Thanks for the presentation. Insightful analysis of chosen variables through regression and classification trees. However, could i clarify how can the issue of endogeneity be addressed through your data analysis?]]> 2022-04-04 08:57:10 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262810 weijielim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262901 Hi group 6! Thank you for the great presentation! can i just ask why did you guys chose to replace the missing e_score values with industry average since the e_score value might be very different even within the same industry? ]]> 2022-04-04 08:57:15 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262901 wtchiong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262997 hello! thank you for the presentation! may i ask if the team used human judgement to choose your finals variables? thank you!]]> 2022-04-04 08:57:21 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128262997 ashleychia https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263027 Hi guys, thanks for the great presentation! Just wanted to ask why weren't those variables that appeared in at least one model (eg: regression) taken into consideration at the end?]]> 2022-04-04 08:57:23 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263027 mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263126 Great explanation on data cleaning Team 6. Perhaps you can try running a different classification tree with different factors since your accuracy and no data rate were very close.]]> 2022-04-04 08:57:28 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263126 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263297 Hi, thank you for your presentation! Nice slides :) The part on classification tree was quite fast, any variables that we should take note in the classification tree? (e.g. smaller size firm has lower e-score?)]]> 2022-04-04 08:57:38 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128263297 denzelpak https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128265779 Hi Team 6, thanks for your presentations, your slides were really nice and informative. 

I just wanted whether your data analysis included the effects of size on the company?

For example, you could consider using dividend payout rate to see if how much dividends they pay out of their net income. 

Further to this, you did mention in your presentation that environmentally friendly companies are more likely to be able to sustain their dividend payouts but how did you account for that/show that if you were simply using the raw dividend payout amount without showing the trend/taking into account the time of dividend payouts?]]> 2022-04-04 08:59:37 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128265779 jamietang2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128268181 Thanks for the presentation! I found the recommendations really insightful on how to improve the escore. The analysis in the top factors such as having solar panels which are expensive PPE is quite perceptive. Good job :)]]> 2022-04-04 09:01:42 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128268181 Feedback xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128271065 Hi Group 6, Thank you for your presentation! I like the slides design! Can I check with you on whether the multicollinearity has been eliminated from the selected variables?]]> 2022-04-04 09:04:21 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128271065 joannekoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128272299 Hello group 6! thank you for the presentation, it was very insightful! I like the flow of the presentation where the statistical insights was followed closely with interpretation and research insights that was aligned with your findings]]> 2022-04-04 09:05:27 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128272299 reefvertan2018 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128276376 Thank you for the presentation! Is there a reason for your decision to replace the 95/5 percentile values with the 95/5 percentile instead of removing them from the dataset entirely? ]]> 2022-04-04 09:08:56 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128276376 prithpalk2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128280327 Thank you Group 1 for the interesting presentation! Why did your group choose to pick the prediction values when the regression/classification tree didn't provide a significant correlation? Thanks in advance!

]]> 2022-04-04 09:12:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128280327 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128280758 Hi Group 1, great presentation and I would like to enquire (1) what's your team's rationale for selecting the independent variables for the regression, and (2) why did you use only 15 variables for classification tree when there's a probability that other variables in the raw dataset could be significant predictors?]]> 2022-04-04 09:12:24 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128280758 mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282506 Great insights into the ICMW Group 1. Perhaps for your classification tree, you can consider running it with different variables since your accuracy is very close to your no data rate and your type 1 error is high. ]]> 2022-04-04 09:13:36 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282506 celinehooi2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282698 Hi Group 1, thank you for the insightful presentation. Not sure if I missed it, but did you consider the endogeneity issue? Eg: your prediction of companies with high debt has greater internal control weakness, could there be other explanatory variables?]]> 2022-04-04 09:13:41 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282698 edwardtay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282872 Thank you for the presentation! I would like to ask if there is a specific reason why the rationale behind only the last few (5-7) hypotheses was explained while the first few (1-4) were not touched on at all? Thank you! ]]> 2022-04-04 09:13:47 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128282872 prithpalk2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128283147 Hello Group 4, thank you for the interesting and captivating presentation! I thoroughly enjoyed listening to your analysis and it was helpful that you provided a comprehensive rationale behind each prediction/hypothesis.]]> 2022-04-04 09:14:02 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128283147 suxianng2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128284568 Hi! Thank you for the presentation. I'm just wondering why did your group decide to replace missing numbers with industry average instead of removing it?]]> 2022-04-04 09:15:14 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128284568 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128285534 hi group 1! thanks for the interesting presentation. can I clarify why did your group chose number of employees as the key variable behind Kraft Heinz fraud? I felt that net income would be more appropriate in this case since they inflated their EBITDA. thank you! - trudy]]> 2022-04-04 09:16:07 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128285534 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128285969 Hi, thank you for presentation! Was wondering if there are any insights on the classification tree models? (i.e. what type of companies are likely to be issued internal control issues?)]]> 2022-04-04 09:16:30 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128285969 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128286132 Thanks for the presentation. Thoughtful analysis of ICMW through picking out the variables for regression and classification tree analysis. I would like to clarify if you guys considered including any more variables, on top of the ones you guys analysed, which could have provided more insights? Additionally, would analysis by industry have proved helpful?]]> 2022-04-04 09:16:39 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128286132 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128287468 Hi group 1, thank you for the presentation! I like that your slides were clear, concise and visually appealing.
However, how did you pick your independent variables under data preparation?
Thank you.

- Elizabeth
 ]]> 2022-04-04 09:17:42 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128287468 Hi group 1, you mentioned that auditors should look at companies that have lesser inventory, employees/ Cash flow etc etc. It seems that are these are related to smaller market cap companies, so in other words would u say that auditors should play particular attention to smaller companies in general? if so, is this an accurate conclusion? tywong2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128289546 2022-04-04 09:19:29 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128289546 chugekchew2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128289922 Hi Group 1, thanks for the great presentation! Since you ran both classification tree and regression, which of the two tools did you think was more insightful?]]> 2022-04-04 09:19:45 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128289922 joannekoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128292184 Dear Group 1, thank you for the detailed analysis! You presented many hypothesis which was in-depth. Just curious, why did your group have so many hypothesis (quite specific in nature) for regression instead of coming up with a more general hypothesis and derive insights from there? ie. a broader regression to which shows that a high total liabilities (one of the variables) affects icmw instead of having the hypothesis targeting whether total liabilities affect icmw? Thank you!

]]> 2022-04-04 09:21:31 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128292184 maxineho2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128292707 hey guys! ya'll slayed :) nice presentation! could i ask why no. of employees was used as the sole proxy variable of firm size for heinz? ]]> 2022-04-04 09:21:56 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128292707 weang2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128294188 Hi Group 1! Thanks for your presentation, it was really insightful with a fresh perspective. Can I just check what does the team think that it is concerning that the sensitivity value of the classification tree is low which affects the accuracy of the model in the end?]]> 2022-04-04 09:23:15 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128294188 samueltan2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128297227 Really interesting analysis that offered a fresh perspective on control weaknesses. 

There was a lot of careful explanation of insights for each factor as well as company-type-specific significance. 

Great work!]]> 2022-04-04 09:25:31 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128297227 Feedback peilingsoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128299086 Sorry I couldnt really see the slides from zoom but great breakdown and analysis of the results generated. I also feel that your group provided great insights and recommendation. :)]]> 2022-04-04 09:26:54 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128299086 peilingsoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128301608 Great way to catch attention by utilising gg.plot to present your findings. In addition I like your group's breakdown of classification tree. ]]> 2022-04-04 09:28:49 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128301608 peilingsoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128304288 Insightful analysis on internal control by integrating real world examples into the project. In addition, thank you for explaining the reason behind why you chose certain variables to focus on. Great job!]]> 2022-04-04 09:31:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128304288 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128305870 Great and insightful presentation with a clear and detailed thought process.]]> 2022-04-04 09:32:29 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128305870 xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128305935 Hi Group 1, Thank you for your presentation! I like that your group presented a different view on internal control associations and determinants]]> 2022-04-04 09:32:33 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128305935 prithpalk2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128309301 Hello Group 3, thank you for the insightful presentation! Since the difference was negligble between the regression models using MAE/RMSE, you can consider using Adjusted R-squared value to prioritse a model and pick a model that has higher R-Squared values and Adjusted R-Squared values.  ]]> 2022-04-04 09:35:23 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128309301 mhaung2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128312767 Great insights into the Audit Fees Group 3. Perhaps for your classification tree, you can consider running it with different variables since your accuracy is very close to your no data rate and your type 1 error is high. ]]> 2022-04-04 09:38:21 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128312767 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314018 Thank you for the presentation. There was interesting analysis of chosen variables through the classification trees and log variables. However, how can the issue of endogeneity be addressed through your data analysis?]]> 2022-04-04 09:39:19 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314018 edwardtay2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314152 Thank you for the presentation! I would like to ask if your group found the MAPE of >200 too high?]]> 2022-04-04 09:39:26 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314152 jamietang2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314377 Thanks for your presentation! I was just wondering if there’s any reason why you picked 97% for your significance level?]]> 2022-04-04 09:39:39 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314377 jordanyap2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314864 Hello! You guys slaaaaaaayed the presentation!! Just wanted to know how you guys will be classifying the companies into big and small ones, in order to vary the audit fees? (like are there any rules / benchmarks?)]]> 2022-04-04 09:40:05 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128314864 jiayie99 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128319117 Hello Group 3! Thanks for your insightful presentation! Just wondering based on your data analysis, what would be your recommendations for the management to better price their audit services?]]> 2022-04-04 09:42:14 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128319117 joelynkho2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128321256 Hi Group 3, thank you for your time in preparing the presentation! :)

It was quite a thorough analysis to go through all the financial ratios which will allow potential audit firm to know where to put their focus exactly and explaining to the client that main audit work will be focused on the more important sectors, thus  more audit fees will be allocated respectively It was also a good idea to raise various queries and potential problems for small audit firms!
]]> 2022-04-04 09:43:57 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128321256 weijielim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128324487 Hi! thank you for the great presentation! May I ask, how did you pick the variables to run in your regression?]]> 2022-04-04 09:46:53 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128324487 zylim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128325389 Hello group 6, thank you for your presentation. Your slides were very clear and I really like the design of your slides! Your presentation was also very insightful and were very detailed with your presentation and findings]]> 2022-04-04 09:47:36 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128325389 joannekoh2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128325734 Hello group 3! thank you for the presentation! I really like how the different hypothesis were derived from questions you had from actual articles! Just curious, how did y'all determine which financial ratios to analyse?]]> 2022-04-04 09:47:56 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128325734 weang2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128328593 Hi Group 3! Thank you for the insightful presentation. The effort put into the analysis was really well thought out and clearly presented. I really liked how the team brought in the analysis of smaller companies too! ]]> 2022-04-04 09:50:27 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128328593 keithlim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128329577 Hello group 3, thank you for your insightful presentation! Since your group compared all the accuracy models of your models (ME/RMSE/MAE/MPE/MAPE), which accuracy model did your group decide to use and what was the process behind deciding which one to pick? Thank you!

- On behalf of group 7]]> 2022-04-04 09:51:18 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128329577 wtchiong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128331244 Thank you for the presentation! Thought that it was really insightful to use real life examples to select your IVs! Good job! 

]]> 2022-04-04 09:52:52 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128331244 chugekchew2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128331419 Hi Group 3! Thanks for the presentation :) Given that so many of your variables showed high collinearity, what were your considerations when you made the judgement call to drop some of them?]]> 2022-04-04 09:53:01 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128331419 keithlim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128339692 Hello group 2, thank you so much for the insightful presentation! Since you shared that your created variables (roa, npm, etc) were not significant in your regression model and were not present in the classification tree, did your group decide to create more variables to explore if the new variables would give us more insightful results? If yes, which variables did your group decide to create, and if no, why? Thank you :) 

- On behalf of group 7]]> 2022-04-04 10:00:02 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128339692 wtchiong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128339972 Hello! Thank you for your insightful presentation! May I ask why the negative figures were winsorized? Would that make the data skewed?]]> 2022-04-04 10:00:16 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128339972 Feedback rongchen2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128340273 Hi group 6, thanks for the presentation!

Really like that your dive into different industry! it gives a clearer picture on what each industry should focus on!]]> 2022-04-04 10:00:33 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128340273 colintan2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128340800 Hi I would just like to ask is there any reason for using a sample frac of 0.8?

And iirc your confusion matrix had only 80+ values for each of the negative and positive values. Do you think this would affect the accuracy of the matrix / classification tree?]]> 2022-04-04 10:01:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128340800 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128341322 Hi, thank you for the presentation! I like the three recommendation on the e-score. It really links back to your findings! :) ]]> 2022-04-04 10:01:34 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128341322 ashleychia https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128342427 Thanks for the presentation! Was just curious as to how you guys chose your independent variables and why there were a lot more chosen for governance compared to environment?]]> 2022-04-04 10:02:22 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128342427 jiayie99 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128342656 Hello Group 2! Thanks for your insightful presentation! I like your recommendations on how to improve e-score and your presentation is very structured and it helps me to follow through your presentation.]]> 2022-04-04 10:02:36 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128342656 siujootong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128345223 Thanks for the presentation! For your recommendations to improve e-score, would there be a way to evaluate if the short-term costs incurred to increase e-score be beneficial in the long run?]]> 2022-04-04 10:04:41 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128345223 rachelang2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128346082 Hello Group 1! Thank your for the insightful presentation :) Slides were aesthetically pleasing and findings were conveyed clearly with the implementation of real-life companies! Great job to the team! :D]]> 2022-04-04 10:05:31 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128346082 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128356870 Hi, thank you for your presentation! Nice slides! I like how y'all jumped right into your findings instead of going through the introduction!!! :) May I ask why there is a need for lead in your regression? What is the purpose of comparing lead and normal regression? Thanks! ]]> 2022-04-04 10:15:44 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128356870 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128358420 hi group 9! thank you for the insightful presentation! is there any reason why your group chose to use lag e-score to replace the missing values instead of using regression since you guys did it for the other variables? - trudy]]> 2022-04-04 10:17:25 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128358420 reefvertan2018 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128358956 Hi, thank you for the presentation! Could you provide some brief explanation of the purpose/advantage of using a lead in regression analysis? 

Also, why did your group choose to perform the analysis at an industry level? Thank you!! ]]> 2022-04-04 10:17:48 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128358956 zylim2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128359145 Hi Group 2! Thank you for your wonderful presentation! May I ask if there is any particular reason why you guys chose to do winsorization only for negative figures? would it have any impact on the results?]]> 2022-04-04 10:18:01 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128359145 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128360114 Hi Group 1, thanks for the wonderful presentation. I like that you provided some context through the use of real-life examples, and the analysis is clear and comprehensive.]]> 2022-04-04 10:19:03 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128360114 Feedback xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128362532 Hi Group 3, Thank you for the presentation! I have a better understanding on how audit fees are affected and thanks for sharing! Cheers!]]> 2022-04-04 10:21:17 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128362532 denzelpak https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128362689 Hi Team 9, thanks for your presentation! The effort you put into this presentation can really be seen. I really like how you split your analysis by the industries which really gave a lot more insights.

Can I ask what you think are the reasons behind the differences in variables for different industries, and how did you actually decide what is in the "Top 3" factors? Was there any specific criteria?

Cheers!]]> 2022-04-04 10:21:25 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128362689 Pricing Model tywong2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128369622 Feel free to use :) ]]> 2022-04-04 10:27:55 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128369622 jiayie99 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128369626 Hello Group 9! Thanks for your presentation. I like the way that your group come out with different factors for each industries as this will provide more insights for me! ]]> 2022-04-04 10:27:56 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128369626 colintan2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128371415 Hi. I might not have caught it during the presentation but what was the heat map trying to demonstrate?]]> 2022-04-04 10:29:34 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128371415 siujootong2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128371555 Hi team! Thanks for the awesome presentation. I really enjoyed the comparison between the normal and lead... makes comparison really straightforward. I enjoyed the simple yet direct recommendations too!]]> 2022-04-04 10:29:42 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128371555 ashraellow2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128373312 Thanks for the presentation. Insightful analysis through categorisation by year and industry. Could I clarify how does analysing type 1 and type 2 errors help to better understand more significant determinants of e-score?]]> 2022-04-04 10:31:19 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128373312 xinyuexiao2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128374092 Hi Group 9, Thanks for your presentation! I like your slides and recommendations too!]]> 2022-04-04 10:32:02 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128374092 joshuakek2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128374709 Hello Group 9. It was a very comprehensive presentation as you provided a breakdown of the industries, which gave me a better understanding of the unique variables that affect companies in each industry.

]]> 2022-04-04 10:32:41 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128374709 ashleychia https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128376081 Thanks for the presentation! Just wanted to ask if you guys considered and came up with more industry-specific recommendations since your analysis was done industry-wise?]]> 2022-04-04 10:33:57 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128376081 elysiashun2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128384354 Hi Group 1! Thank you for the comprehensive presentation. It was also insightful that your group included real life examples in your analysis :)]]> 2022-04-04 10:41:51 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128384354 suetenghu2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128390767 Hi, thank you for your presentation. Nice slides!! In your presentation, you mentioned that the month that the companies pay audit fees. Was wondering if the data mention that the audit fees were paid on which month? Looking from the definition excel, the month stated was only the month that their financial year ended in. Correct me if I am wrong. Thanks for the excel model! :) ]]> 2022-04-04 10:47:50 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128390767 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128390782 hi group 5! thanks for the insightful presentation! just curious, how did your group derive the drivers of audit fees as mentioned in the objectives section? thanks!     - trudy]]> 2022-04-04 10:47:52 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128390782 rachelang2020 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128391231 Hello Group 9! Thank you for your presentation! Appreciate how the group went through all the industries! Just wanted to clarify how did the group decide on the top 3 factors since it varies for the different industries? Good job to the group! :)

]]> 2022-04-04 10:48:13 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128391231 elysiashun2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128392982 Hi Group 5, thank you for the insightful presentation on audit fees and the pricing model. The slides are clear and organized too!]]> 2022-04-04 10:49:39 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128392982 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128406903 Hello group 5! Thank you for the presentation! Not sure if the team has mentioned during the presentation, but just wondering what was the reason why the group decided on doing pre-audit and post-audit as compared to analysing it in general? Since audit fees are usually determined during the pre-engagement, good job to the grp anyways! :)

- Rachel Ang]]> 2022-04-04 11:01:43 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128406903 elysiashun2019 https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128418767 Hi Group 3, thank you for the thorough analysis on Audit fees as most of us did on e_score. I liked that you guys identified the small vs big audit firms in your analysis to identify their variations and potential issues.]]> 2022-04-04 11:13:10 UTC https://padlet.com/jungbaekim/r1ydhy1x9f73v42h/wish/2128418767