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 -203.402 51.6573 -3.94 0.0002 0.0
Gmat 0.39412 0.09039 4.36 0.0000 2.0
Tuition 0.92012 0.17875 5.15 0.0000 2.0
Source DF SS MS F P
Regression 2 67140.9 33570.5 78.53 0.0000
Residual 72 30780.8 427.5
Total 74 97921.7
Interpret the p-value for the global f-test shown on the printout.
◦ At α = 0.05, there is insufficient evidence to indicate that the average GMAT score of the MBA program's students is useful for predicting the average starting salary of the graduates of an MBA program.
◦ At α = 0.05, there is insufficient evidence to indicate that something in the regression model is useful for predicting the average starting salary of the graduates of an MBA program.
◦ At α = 0.05, there is sufficient evidence to indicate that something in the regression model is useful for predicting the average starting salary of the graduates of an MBA program.
◦ At α = 0.05, there is sufficient evidence to indicate that the average GMAT score of the MBA program's students is useful for predicting the average starting salary of the graduates of an MBA program.
Sociologists study the social factors that underlie human behavior, the experiences that mold us, ...
Using the voltmeter leads from a starting and charging test unit to measure the voltage drop ...
A Scatterplot of the Test Scores and Average Grades of 10 Students
The level of emissions from transport in the United States is twice as high as the global average
Average real hourly wages (2010 dollars) by education level, full-time workers aged 17 to 34 in 2011
The reason why I do not study