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A Study of the Top MBA Programs Attempted to Predict  Least Squares Linear Regression of Salary \text { Least Squares Linear Regression of Salary }

Question 39

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 \text { Least Squares Linear Regression of Salary }

 Predictor  Variables  Coefficient  Std Error  T  P  Constant 687.851165.4064.160.0001 Tuition 11.31972.197245.150.0000 GMAT 0.967270.255353.790.0003 TxG 0.018500.003315.580.0000\begin{array}{l}\text { Predictor }\\\begin{array}{lccccc}\text { Variables } & \text { Coefficient } & \text { Std Error } & \text { T } & \text { P } \\\text { Constant } & -687.851 & 165.406 & 4.16 & 0.0001 \\\text { Tuition } & -11.3197 & 2.19724 & -5.15 & 0.0000 \\\text { GMAT } & -0.96727 & 0.25535 & -3.79 & 0.0003 \\\text { TxG } & 0.01850 & 0.00331 & 5.58 & 0.0000\end{array}\end{array}

 R-Squared 0.7816 Resid. Mean Square (MSE)  301.251 Adjusted R-Squared 0.7723 Standard Deviation 17.3566\begin{array}{lccc}\text { R-Squared } & 0.7816 & \text { Resid. Mean Square (MSE) } & 301.251 \\\text { Adjusted R-Squared } & 0.7723 & \text { Standard Deviation } & 17.3566\end{array}

 Source  DF  SS  MS  F  P  Regression 376523.825510.984.680.0000 Residual 7121388.8301.3 Total 7497921.7\begin{array}{lllcccc}\text { Source } & \text { DF } & & \text { SS } & \text { MS } & \text { F } & \text { P } \\\text { Regression } & 3 & & 76523.8 & 25510.9 & 84.68 & 0.0000 \\\text { Residual } & & 71 & 21388.8 & 301.3 & \\\text { Total } & & 74 & 97921.7 & &\end{array}

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


A) There is sufficient evidence, at α=0.05\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.
B) There is insufficient evidence, at α=0.05\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.
C) There is sufficient evidence, at α=0.05\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.
D) There is insufficient evidence, at α=0.05\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.

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