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A Study of the Top MBA Programs Attempted to Predict 7575 \quad

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A study of the top MBA programs attempted to predict the average starting salary (in $1000ʹs) of graduates of the program based on the amount of tuition (in $1000ʹs) charged by the program and
The average GMAT score of the programʹs 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
 A study of the top MBA programs attempted to predict the average starting salary (in $1000ʹs) of graduates of the program based on the amount of tuition (in $1000ʹs) charged by the program and The average GMAT score of the programʹs 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    Cases Included  75 \quad  Missing Cases 0 The global-  \mathrm { f }  test statistic is shown on the printout to be the value  \mathrm { F } = 84.68 . Interpret this value. A)  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. B)  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. C)  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. 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.

Cases Included 7575 \quad Missing Cases 0
The global- f\mathrm { f } test statistic is shown on the printout to be the value F=84.68\mathrm { F } = 84.68 . Interpret this value.


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Phosphate

A chemical derivative of phosphoric acid, containing the phosphate ion, PO4^3-, which plays a significant role in biological molecules such as DNA and ATP.

Sulfur

A chemical element that is a nonmetal, yellow in color, with the atomic number 16, commonly found in minerals and used in various industrial processes.

Nitrogen

A chemical element with symbol N and atomic number 7, essential for all living organisms as it is a major component of amino acids and nucleic acids.

Kinetic Energy

The energy possessed by an object due to its motion, dependent on the object’s mass and velocity.

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