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An Admissions Officer Wants to Examine the Cumulative GPA of New

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An admissions officer wants to examine the cumulative GPA of new students, and has data on 224 first-year students at the end of their first two semesters. The admissions officer estimates the following model: GPA = β0 + β1HSM + β2HSS + β3HSE + ε, where HSM, HSS and MSE are their average high school math, science and English grades (as proportions). The regression results are shown in the accompanying table. An admissions officer wants to examine the cumulative GPA of new students, and has data on 224 first-year students at the end of their first two semesters. The admissions officer estimates the following model: GPA = β<sub>0</sub> + β<sub>1</sub>HSM + β<sub>2</sub>HSS + β<sub>3</sub>HSE + ε, where HSM, HSS and MSE are their average high school math, science and English grades (as proportions). The regression results are shown in the accompanying table.   a. Predict the GPA when the average math grade is 90%, the average science grade is 85% and the average English grade is 85%. B) If a student had a GPA of 3.0. What is the residual and does the sample regression equation under- or overpredict the GPA? C) Calculate the standard error of the estimate. D) Interpret the coefficient of determination. a. Predict the GPA when the average math grade is 90%, the average science grade is 85% and the average English grade is 85%.
B) If a student had a GPA of 3.0. What is the residual and does the sample regression equation under- or overpredict the GPA?
C) Calculate the standard error of the estimate.
D) Interpret the coefficient of determination.

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a. We predict a GPA of 3.23
b. The resid...

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