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A Study of the Top MBA Programs Attempted to Predict

question 6

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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

 Predictor  Variables  Coefficient  Std Error  T  P  VIF  Constant 203.40251.65733.940.00020.0 Gmat 0.394120.090394.360.00002.0 Tuition 0.920120.178755.150.00002.0\begin{array}{l}\text { Predictor }\\\begin{array}{lcccccccc}\text { Variables } & \text { Coefficient } & {\text { Std Error }} & \text { T } & \text { P } & {\text { VIF }} \\\text { Constant } & -203.402 & 51.6573 & -3.94 & 0.0002 & 0.0 \\\text { Gmat } & 0.39412 & 0.09039 & 4.36 & 0.0000 & 2.0 & \\\text { Tuition } & 0.92012 & 0.17875 & 5.15 & 0.0000 & 2.0 &\end{array}\end{array}

 R-Squared 0.6857 Resid. Mean Square (MSE)  427.511 Adjusted R-Squared 0.6769 Standard Deviation 20.6763\begin{array}{lccc}\text { R-Squared } & 0.6857 & \text { Resid. Mean Square (MSE) } & 427.511 \\\text { Adjusted R-Squared } & 0.6769 & \text { Standard Deviation } & 20.6763\end{array}

 Source  DF  SS  MS  F  P  Regression 267140.933570.578.530.0000 Residual 7230780.8427.5 Total 7497921.7\begin{array}{lllcccc}\text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\\text { Regression } & 2 & 67140.9 & 33570.5 & 78.53 & 0.0000 \\\text { Residual } & 72 & 30780.8 & 427.5 & \\\text { Total } & 74 & 97921.7 & &\end{array}


Definitions:

Social Cognition Perspective

An approach that focuses on how people process, store, and apply information about other people and social situations.

Causal Attribution

The process by which individuals assign causes or reasons to events and behaviors, explaining why things happen.

Correlational Observation

A research approach that involves observing and measuring the relationship between two or more variables without manipulating them.

Third Variable Assumption

The idea in research that a correlation between two variables might be explained by a third factor that affects both of the original variables.

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