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Author Question: An academic advisor wants to predict the typical starting salary of a graduate at a top business ... (Read 130 times)

mpobi80

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An academic advisor wants to predict the typical starting salary of a graduate at a top business school using the GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using 25 data points is shown below.

0= -92040  1 = 228  s = 3213  r2 = .66  r = .81  df = 23  t = 6.67

Give a practical interpretation of r2 = .66.
◦ We expect to predict SALARY to within 2 of its true value using GMAT in a straight-line model.
◦ We can predict SALARY correctly 66% of the time using GMAT in a straight-line model.
◦ 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.


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Marked as best answer by mpobi80 on Feb 14, 2020

ashely1112

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mpobi80

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Reply 2 on: Feb 14, 2020
Thanks for the timely response, appreciate it


amcvicar

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Reply 3 on: Yesterday
:D TYSM

 

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