8) The following results are from a regression where the dependent variable is GRADUATION RATE and the independent variables are % OF CLASSES UNDER 20, % OF CLASSES OF 50 OR MORE, STUDENT/FACULTY RATIO, ACCEPTANCE RATE, 1ST YEAR STUDENTS IN TOP 10% OF HS CLASS. *see below*Below is the regression of % OF CLASSES UNDER 20 on the other independent variables. *see below*a) Calculate the VIF for % OF CLASSES UNDER 20. b) Based on the VIF, do you think that multicollinearity is a problem? Explain. SUMMARY OUTPUTRegression StatisticsMultiple R0.875R Square0.765Adjusted R Square0.730Standard Error4.469Observations48ANOVAdfSSMSSignificance FFRegression2663.1443.922.231.88742E-11Residual41818.820.0Total473481.9Coefficients Standard ErrorI StatP-valueLower 95%Upper 95%Intercept84.911.77.30.061.3108.5% of Classes Under 20-0.1700.097-1.7530.087-0.3650.026% of Classes of 50 or More-0.5040.196-2.5710.014-0.900-0.108Student/Faculty Ratio-0.2640.261-1.0140.317-0.7910.262Acceptance Rate1st-Year Students in Top 10% of HS-0.2090.056-3.7380.0010.321-0.096Class0.1300.05812.23670.03080.01260.2473Academic Reputation Score3.941.922.050.050.067.82Below is the regression of % OF CLASSES UNDER 20 on the other independent variables.SUMMARY OUTPUTRegression StatisticsMultiple R0.860R Square0.739Adjusted R Square0.708Standard Error7.13 SUMMARY OUTPUTRegression StatisticsMultiple R0.860R Square0.739Adjusted R Square0.708Standard Error7.13Observations48ANOVAdfSSMSSignificance FRegression6046.71209.323.792.86796E-11Residual422134.850.8Total478181.5CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept54.1216.653.250.0020.5287.72% of Classes of 50 or More-0.8750,282-3.0980.003-1.444-0.305Student/Faculty Ratio-0.9420.390-2,4160.020-1.728-0.155Acceptance Rate1st-Year Students in Top 10% of HSClass-0.0320.089-0.3600.721-0.2110.1480.2120.0872.4450,0190.0370.387Academic Reputation Score2.2353.0460.7340.467-3.9138.383a) Calculate the VIF for % OF CLASSES UNDER 20,

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The following results are from a regression where the dependent variable is GRADUATION RATE and the independent variables are % OF CLASSES UNDER 20, % OF CLASSES OF 50 OR MORE, STUDENT/FACULTY RATIO, ACCEPTANCE RATE, 1ST YEAR STUDENTS IN TOP 10% OF HS CLASS. *see below* Below is the regression of % OF CLASSES UNDER 20 on the other independent variables. *see below* a) Calculate the VIF for % OF CLASSES UNDER 20. b) Based on the VIF, do you think that multicollinearity is a problem? Explain.

The following results are from a regression where the dependent variable is GRADUATION RATE and the independent variables are % OF CLASSES UNDER 20, % OF CLASSES OF 50 OR MORE, STUDENT/FACULTY RATIO, ACCEPTANCE RATE, 1ST YEAR STUDENTS IN TOP 10% OF HS CLASS. see below Below is the regression of % OF CLASSES UNDER 20 on the other independent variables. see below a) Calculate the VIF for % OF CLASSES UNDER 20. b) Based on the VIF, do you think that multicollinearity is a problem? Explain.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.6: Exponential And Logarithmic Equations

Problem 67E

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