A Study of the Top MBA Programs Attempted to Predict $\$ 1000$

question 23

Multiple Choice

A study of the top MBA programs attempted to predict the average starting salary (in $\$ 1000$ 's) of graduates of the program based on the amount of tuition (in $\$ 1000$ 's) charged by the program and the average GMAT score of the program's students. The results of a regression analysis based on a sample of 75 MBA programs is shown below:
Least Squares Linear Regression of Salary


Cases Included $75 \quad$ Missing Cases 0
One of the $t$ -test test statistics is shown on the printout to be the value $t = 5.58$ . Interpret this value.

• A) There is insufficient evidence, at \(\alpha = 0.05\), to indicate that at least one of the variables proposed in the interaction model is useful at predicting the average starting salary of graduates of MBA programs.
• B) There is insufficient evidence, at \(\alpha = 0.05\), to indicate that the interaction between average tuition and average GMAT score is a useful predictor of the average starting salary of graduates of MBA programs.
• C) There is sufficient evidence, at \(\alpha = 0.05\), to indicate that the interaction between average tuition and average GMAT score is a useful predictor of the average starting salary of graduates of MBA programs.
• D) There is sufficient evidence, at \(\alpha = 0.05\), to indicate that at least one of the variables proposed in the interaction model is useful at predicting the average starting salary of graduates of MBA programs.

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