Question: Many colleges and universities develop regression models for predicting the GPA of incoming fresh men. This predicted GPA can then be used to make admission

Many colleges and universities develop regression models for predicting the GPA of incoming fresh men. This predicted GPA can then be used to make admission decisions. Although most models use many independent variables to predict GPA, we will illustrate by choosing two variables:
x1 = Verbal score on college entrance examination (percentile)
x2 = Mathematics score on college entrance examination (percentile)
The file contains data on these variables for a random sample of 40 freshmen at one college. (Selected observations are shown in the table.) Use the data to develop a useful prediction equation for college freshman GPA (y). Be sure to conduct a residual analysis for the model.

49 89 3 5 6 . .. 8 8 0 34136 A, 32212 23333 99 86 49 8 73569 69676 67 865 05 780 8

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First we will fit the simple linear regression model Ey Bo B1x1 B2x2 Using MINITAB the results are Regression Analysis y versus x1 x2 The regression equation is y 157 00257 x1 00336 x2 Predictor Const... View full answer

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