Author Question: An academic advisor wants to predict the typical starting salary of a graduate at a top business ... (Read 72 times)

ec501234 · **on:** Feb 14, 2020

Question 1

True or False.

A low value of the correlation coefficient r implies that x and y are unrelated.
◦ True
◦ False

Question 2

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 r = .81.
◦ 81% of the sample variation in SALARY can be explained by using GMAT in a straight-line model.
◦ There appears to be a positive correlation between SALARY and GMAT.
◦ We estimate SALARY to increase 81% for every 1-point increase in GMAT.
◦ We can predict SALARY correctly 81% of the time using GMAT in a straight-line model.

bimper21 · **Reply #1 on:** Feb 14, 2020

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