Regression Activity by Emily McKeeman https://padlet.com/e_mckeeman/ifx29gojbrr7 How strong is the linear relationship between flight distances and airfares? en-us 2017-11-09 20:40:24 UTC 2025-11-13 17:29:21 UTC hello@padlet.com December 15th through December 21st, 2017 e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502213 2017-11-09 20:42:40 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502213 1. From the numbers in your table, does there appear to be a linear relationship between distance and airfare? Explain. e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502431 There is not a linear relationship between the distance and airfare. Distances that are pretty close in milage differ in amounts around $200.]]> 2017-11-09 20:43:26 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502431 Data e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502614 2017-11-09 20:44:01 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205502614 5. If 2 cities are about 200 miles apart, then based on your regression line equation, by how much should their airfares differ? Show your work. e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205503990 193.58= 0.085(200)+176.58
210.58= 0.058(400)+176.58
210.58-193.58= 17]]> 2017-11-09 20:47:25 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205503990 7. Use the equation of your regression line from question 3 to predict the cost of flying 1600 miles. e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205504132 = 305]]> 2017-11-09 20:47:51 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205504132 Emily McKeeman Kaleb Houghton e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205509413 2017-11-09 21:04:57 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205509413 6. Use Excel to produce r. How well does the line fit the data? Explain. e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205511466 = .96
It fits pretty well because there was no major change in the number. All of the numbers are generally pretty close to the regression line and the line wouldn't have moved much.]]> 2017-11-09 21:11:28 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205511466 2. Scatterplot From Data e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205512891 2017-11-09 21:16:08 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205512891 4. Interpret the slope of your regression line from question 3 in context. e_mckeeman https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205514734 Slope: 0.085
Y-intercept: 176.58]]> 2017-11-09 21:22:43 UTC https://padlet.com/e_mckeeman/ifx29gojbrr7/wish/205514734