Points 0 of 5 SIGHTS WILI CHTULEM Save Using the
Last updated: 7/21/2023
Points 0 of 5 SIGHTS WILI CHTULEM Save Using the accompanying MBA Motivation and Salary Expectations data determine how well a linear function models the relationship between pre and post MBA salaries Compare it to a third order polynomial Would the polynomial model have a logical explanation Click the icon to view the MBA Motivation and Salary Expectations data O Click here to view chart a Compare the two models Would the polynomial model have a logical explanation OA Both the linear and polynomial models have similar R2 values Neither model is strictly better than the other because they pass through roughly the same number of data points One might explain it by suggesting that post MBA salary is not dependent on pre MBA salary OB The polynomial model has a much higher R2 value than the linear model The polynomial will always be better because polynomial models always have high R2 values One might explain it by suggesting that an MBA will most affect a person s salary if their pre MBA salary is either very low or very high OC The linear model has a much higher R2 value than the polynomial model The linear model will always be better One might explain it by suggesting that the higher the pre MBA salary is the higher the post MBA salary will be OD Both the linear and polynomial models have similar R2 values The polynomial will always be better because it has additional terms One might explain it by suggesting that the higher the pre MBA salary is the post MBA salary will grow at an increasing rate as a percentage of the pre MBA salary However when the pre MBA salary is high the effect starts to level off 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 A Age B Gender 31 M 32 M 31 M 35 M 25 M 25 F 40 M 28 F 32 F 26 M 24 M 31 F 30 M 24 F 25 M 32 F 39 M 38 M 24 M 27 F 32 M 27 M 25 F 28 F 34 F C Years Work Experience More than 6 More than 6 4 to 6 More than 6 1 to 3 4 to 6 More than 6 4 to 6 More than 6 1 to 3 1 to 3 4 to 6 4 to 6 4 to 6 4 to 6 More than 6 More than 6 More than 6 1 to 3 4 to 6 More than 6 4 to 6 None 4 to 6 More than 6 D Motivation Career Change Career Advancement Higher Financial Earnings Career Change Higher Financial Earnings Career Advancement Genuine Interest Higher Financial Earnings Genuine Interest Career Change Higher Financial Earnings Career Change Career Change Career Advancement Career Change Genuine Interest Higher Financial Earnings Genuine Interest Career Advancement Higher Financial Earnings Higher Financial Earnings Genuine Interest Genuine Interest Career Advancement Career Change F E Pre MBA Salary Post MBA Salary 105000 84500 87000 100000 69500 100500 95500 126500 52500 60500 47000 70500 70000 130000 55000 74500 75500 109500 50000 43000 70000 55000 60000 65000 90000 86500 109500 37000 59500 73000 57500 45000 65000 85500 80500 85500 90000 69500 89500 79500 110500 105500 126000 70000 74500 94000 75000 80500 89000 99500