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Author Question: Each year a nationally recognized publication conducts its "Survey of America's Best Graduate and ... (Read 286 times)

Jramos095

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on: Jan 16, 2020
Each year a nationally recognized publication conducts its "Survey of America's Best Graduate and Professional Schools." An academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using 25 data points shown below.
b0 = -92040  b1 = 228  s = 3213  R2 = 0.66  r = 0.81  df = 23  t = 6.67
Give a practical interpretation of R2 = 0.66.
◦ 66% of the differences in SALARY are caused by differences in GMAT scores.
◦ 66% of the sample variation in SALARY can be explained by using GMAT in a straight-line model.
◦ We estimate SALARY to increase $.66 for every 1-point increase in GMAT.
◦ We can predict SALARY correctly 66% of the time using GMAT in a straight-line model.
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Marked as best answer by Jramos095 on Jan 16, 2020

patma1981

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Reply #1 on: Jan 16, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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Moriah White

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Reply #2 on: May 1, 2021
Thank you


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Reply #3 on: May 4, 2021
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