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Post the links to your completed Google Docs below

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Post the links to your completed Google Docs below

# data[].attributes.headline
Post the links to your completed Google Docs below

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Post the links to your completed Google Docs below

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With your partner, choose a category to analyze and write your names on the spreadsheet below. No repeats permitted in the class. 

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With your partner, choose a category to analyze and write your names on the spreadsheet below. No repeats permitted in the class. 

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Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

# data[].attributes.headline
Post the links to your completed Google Docs below

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Post the links to your completed Google Docs below

# data[].attributes.headline
Post the link to your completed Google Docs below 

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Post the link to your completed Google Docs below 

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After looking through the site: (1) What is something that you notice? (2) What is something that you are wondering?

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After looking through the site: (1) What is something that you notice? (2) What is something that you are wondering?

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(1) What is 1 item or pattern that you notice? (2) What part of the data are you wondering about?

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(1) What is 1 item or pattern that you notice? (2) What part of the data are you wondering about?

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86% of the time, the team with a white jersey will win. (13 out of the 15 Superbowls were won with a white jersey). We wonder if the amount of points scored throughout the entire season affects the win percent rate of the Superbowl?

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Head coaches over the age of 48 mostly had a higher percentage of field goals made by their quarterbacks. We wonder whether the age of the head coach affects the performance of the quarterback.

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Hunter H. And Asher Skrentny (Nathan Wade)

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Hunter H. And Asher Skrentny (Nathan Wade)

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The coaches and quarterbacks of losing teams are younger than the coaches and quarterbacks of the winning teams.
We are wondering about the correlation between jersey colors, with winning team jerseys tending to be lighter in color than the jerseys of the losing teams.

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1). One item or pattern that we notice is that the losing teams of the SuperBowl tend to have accumulated a larger amount of points, than the winning teams of the SuperBowl. 2). The part of the data that we are wondering about is why the winning teams all tend to generally wear white shirts, while the losing teams are mostly wearing colored shirts.

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75% of the time, the winning team has a quarterback whose age ranges 24-37. We wonder whether the head coaches' age affects the team's winning percentage.

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1) something we noticed about the data for 16 Years of Superbowl is how the Losing team has a larger average of sacs than the winning team.
2)We wonder if the age of the quarterbacks possibly contribute to the probability of winning. Statistics show that the losing teams quarterbacks are on average about 2 years older than the quarterbacks from the winning team.

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Monica B & Kevin D

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Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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56% of the winning teams score within 400 to 500 points, (9 out of the 16 teams). We wonder about the difference in the percentage of field goals made between the losing and winning teams.

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1) something that we noticed is that the opponent usually had a higher amount of turnovers during the regular season
2) The difference in the turnovers from the regular season contributing to these teams winning

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In most cases the older coaches had a their team achieve a higher percentage of field goals. I am wondering how the 2022 Los Angeles Rams' coach had their team achieve a 94.1 percent of field goals despite being 36 years old.

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Data Collection for Making Super Bowl Predictions

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1. There are a large number of teams with white jerseys that won.
2. How many points did the teams score during the regular season.

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https://docs.google.com/spreadsheets/d/1pcTGBddklDBM2hYRPsKQFQZUiifwgSvloeQ1Ks_xE7o/edit?usp=sharing

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Copy of Temperature and Super Bowl Winner

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https://docs.google.com/spreadsheets/d/17aNQhw9DpdSR_Nnwkp2ehJF0tyTpfgX3TRcfeU3Wlxc/edit#gid=0

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Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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Copy of Temperature and Super Bowl Winner

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https://docs.google.com/spreadsheets/d/18clix39YlA16-ohsWwJdLk_nttEnL0TN0rVaPhO93G8/edit?usp=sharing

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Noreen K, Abby K Temperature and Super Bowl Winner

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https://docs.google.com/document/d/1WUX2KD1Lzy5rxJvy2z9vVmEE6YncNr89VL3EXY8ndW0/edit?usp=sharing

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6 teams had win loss ratios of 41.2%.
Something we were wondering about is why the Chicago bears were allowed to keep playing.

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https://docs.google.com/spreadsheets/d/17706JFgZyedhDeL3L2PdXtnopGocPzwGssaAevj5Wl0/edit#gid=0

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Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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1. You can see a lot of the previous years data
2. Where can you find early data (like 1970-1990 ect.)

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We noticed three of the NFC South teams have the same amount of wins and losses. Something we are wondering is why three of the NFC South Teams have 7 wins and 10 losses.

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https://docs.google.com/spreadsheets/d/1zePevdYXs1gaEOuSaBxbRmnojrvNn6n2BkQJmca7LWU/edit?usp=sharing

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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We noticed that from the year 2007 and on if a home team is wearing a white jersey they have a greater percent change that they would win. We wonder if a team that has a white jersey changed the color of the jersey if they would still win?

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https://docs.google.com/spreadsheets/d/1O74v-0COX0DgZ081mBH2ktYOqVRps10s2OYlOl-LUzk/edit?usp=sharing

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Copy of Temperature and Super Bowl Winner

# data[].attributes.attachment_link.description
Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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We noticed that most of the time, the team that had won more championships, won in the past, generally won the SuperBowl. Also, we wonder if the score from the regular season that year, really determines the outcome of the SuperBowl.

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Out of the 2022 season, there were only 4 teams with tie games in their season resume. As for the information itself we wonder just how accurate all the information provided is.

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https://docs.google.com/document/d/1kvUXTUZgXxrgfP-ruP391Dr7LzkAlWaUfqmlh_I_Ni0/edit

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https://docs.google.com/document/d/19uHFfzXHZd8uHqhjPXiZEMViOIh1lDDN7RLRESRuzzU/edit

# data[].attributes.attachment_link.description
Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

# data[].attributes.body
https://docs.google.com/spreadsheets/d/1mUN6_JEj3q362CD0vHm2i1M8hUCNrPpBd6_jUBdW31s/edit?usp=sharing

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Copy of Data Collection for Making Super Bowl Predictions

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I noticed that 7/8 of the division winners have more wins than losses. Something I am wondering is how the NFC south division winners have more losses than wins.

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https://docs.google.com/document/d/1R9o_asnXJaibGRsp5x1JKgXL8uE7PhRZWBW6KM5zjPY/edit?usp=sharing

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https://docs.google.com/spreadsheets/d/1kfgt8ZV_rd4iBcM__YnaNw5RFgT0GejK_E-oFUuVd54/edit?usp=sharing

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Noreen K & Abby K Data Collection for Making Super Bowl Predictions

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https://docs.google.com/document/d/140B9xRYZFZ1ObCTEWZVFu4sJUO9F7-aa3X8sCU7U6rY/edit

# data[].attributes.attachment_link.description
Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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We noticed that only 3 teams have above 0.800 W/L. We wonder if the amount of sacks that happen affect the win/lose ratio.

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https://docs.google.com/document/d/1eo5EV5VlmhIPHrBo78IAF93m4X8Bb5Sw8wu2L0i87Ig/edit?usp=sharing

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Copy of Data Collection for Making Super Bowl Predictions

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https://docs.google.com/spreadsheets/d/18WI0ZQYjKcNdvQ8CeXgbP1_OdRiOVTcVTicdJHihLEM/edit#gid=0

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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https://docs.google.com/document/d/1u6HmDXOW6qnntCnPAS_kPGDxduoTkHjMppEsvxKFjBk/edit

# data[].attributes.attachment_link.description
Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

# data[].attributes.body
https://docs.google.com/spreadsheets/d/1UAzlDj_AjqnEZePDCkU0VHIhPaGsl5Y_UKMjGbfP-sU/edit?usp=sharing

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Copy of Data Collection for Making Super Bowl Predictions

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1) Something we noticed about this reference website is that they also keep track of streak statistics, they find a way to record just how many win and/or lose streak each team has
2) We wonder if teams who have a players that have a longer yard streaks from Scrimmages are more likely to win games.

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https://docs.google.com/document/d/1nDc3jRV_lqKOemN4lBNUlyeG3fjIgzW_1ooftXW7He4/edit?usp=sharing

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Yes, our initial prediction from Friday was correct on which team would win.

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No our initial prediction from Friday was not correct on which team ended up winning.

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Our hypothesis was incorrect as although the weather was above 60, the winning team we predicted lost. We predicted the Eagles, who had a white jersey would win, however it was the Chiefs who did.

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https://docs.google.com/document/d/1JVpwYPW5NnU6oUo766-qcCEgBJIvk31uvLVOwT5kcKc/edit

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Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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After reading our peers responses we think researching penalty yards during the regular season would have given us a more accurate prediction on who would win the superbowl.

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https://docs.google.com/spreadsheets/d/19kg1gVphZmFYhf46YpQSIWzG_vANLUTnmkkQYtuUYV4/edit#gid=0

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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Yes, our hypothesis was correct as the winning team had an older quarterback than the losing team.

# data[].attributes.attachment_link.title
Copy of Data Collection for Making Super Bowl Predictions

# data[].attributes.attachment_link.description
Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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Yes, our hypothesis was correct as the winning team had an older quarterback than the losing team. We predicted the Chiefs would win since they had an older quarterback and we were right.

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No, our hypothesis was not correct, on which team would win.

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No, our hypothesis was not correct, we thought that based on the number of turnovers during the regular season, the Eagles would win. However, this was not correct.

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After reading peers' responses, I think the age of the quarter back and color of the Jerseys are surprisingly accurate. If I were to do this project again next year, I would like to choose one of these categories.

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https://docs.google.com/spreadsheets/d/1hEPUnHOFG_bL0rxDJrDEhS0q2YoyRZzpqtFNWrOKY2Q/edit?usp=sharing

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Copy of Data Collection for Making Super Bowl Predictions

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Our hypothesis that the ratio of attempted field goals to successful field goals predicted the results of a game.
The Chiefs attempted 2 Field Goals, and made 1. The Eagles attempted 2 and made both. The chiefs won, though they had a lower field goal percentage.

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Our prediction was not correct.

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1. I noticed you can see years worth of data on the football seasons.
2. I wonder how I can use this to predict the Super Bowl.

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The most valid category for predicting the winner of the Super Bowl is the age of the quarter back.

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from the data found by peers,  the ages of the quarterbacks and the ages of the coaches play a role in who wins.

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We think that the category of regular season win/loss record would be the best for predicting the SuperBowl. If we did this project again, this category of regular season win/loss record would be what we would want to analyze.

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Our data for yards loss was not given so the closest thing to it would be penalty yards. Therefore, if we were to merge these two hypotheses, they would prove to be correct as we said that the team with the least penalty yards would win the game and in this years Super Bowl the Chiefs had 3 penalties for 14 yards, while the Eagles had 6 penalties for 33 yards.

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https://docs.google.com/spreadsheets/d/1xEXHFGkPsEIgqcpge46M2IL049VWazAoCdt8bb4IukE/edit#gid=0

# data[].attributes.attachment_link.description
Create a new spreadsheet and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Sheets to edit Excel files. Free from Google.

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Copy of Data Collection for Making Super Bowl Predictions

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Noreen K & Abby K Super Bowl Data Analysis

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Our initial prediction that the Eagles would win was incorrect since the Chief's ended up winning

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https://docs.google.com/document/d/1CGrkRlhojGv3t-Js1hffrehzyAcwAWYazlMqCxLqXWM/edit?usp=sharing

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Yes, our hypothesis was correct on which team would win. The team with the older head coach won the superbowl.

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Our hypothesis was correct for yesterday's Super Bowl. The Kansas City Chiefs had a 62 year old head coach while the Philadelphia Eagles had a 42 year old head coach. The team with the older head coach ended up winning.

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No, our hypothesis was incorrect as the Chiefs won.

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Yes, our team prediction from Friday was correct.

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After reading our peer's responses we think that the age of the quarterback is most accurate. The team with the older quarterback ended up winning. I would like to analyze this topic next year as the results seem more accurate.

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I think that the coah's age or the quarterbacks age would play a role in who would win in the superbowl in comparison to researching about the mascot because it doesn't really have anything to do with the team succeeding in the sport.

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Our hypothesis was incorrect as it said that the team which scored less during the regular season would win the superbowl but the Chiefs scored more than the Eagles during the regular season and still won.

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Our data was the regular season win/loss record. This data set did not help us determine the winner of the Superbowl due to the fact that both teams had the exact same number of wins and losses with the only difference being that the Chief's won 2 games in overtime while the Eagles won all of their games without overtime.

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Our hypothesis ended up being correct. The Chiefs indeed have an animal mascot, meaning our prediction of the super bowl winner having an animal mascot was correct. Regardless of who won the super bowl on sunday, our hypothesis would come out to be correct.

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After reading our peers responses the best course of action in researching would be the age of the quarterback.