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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 124

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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.


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