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A Study of the Top 75 MBA Programs Attempted to Predict

question 94

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A study of the top 75 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. The results of a simple linear regression analysis are shown below: Least Squares Linear Regression of Salary

Predictor Variables  Coefficient  Std Error  T  P  Constant 18.184910.33361.760.0826 Size 1.474940.1401710.520.0000\begin{array}{lrrcl}\text {Predictor}\\\text { Variables } & \text { Coefficient } & \text { Std Error } & \text { T } & \text { P } \\\text { Constant } & 18.1849 & 10.3336 & 1.76 & 0.0826 \\\text { Size } & 1.47494 & 0.14017 & 10.52 & 0.0000\end{array}

R-Squared 0.6027\quad\quad\quad \quad 0.6027 \quad Resid. Mean Square (MSE) 532.986 532.986
Adjusted R-Squared 0.5972 \quad0.5972\quad Standard Deviation 23.0865\quad\quad\quad 23.0865


In addition, we are told that the coefficient of correlation was calculated to be r=0.7763r = 0.7763 . Interpret this result.


Definitions:

Interest

The fee charged for borrowing money, often expressed as a percentage of the principal amount.

Maturity Date

The specified date on which the final payment of a loan or other financial instrument is due to be paid.

Bondholders

Individuals or institutions that hold the debt securities issued by corporations or governmental entities, entitling them to receive interest payments and the return of principal.

Issuing Corporation

A company that sells or offers its shares to the public or to private investors.

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