The Y variable for this analysis is GPA in required courses with 4 = A, 3 = B, 2 = C etc.

The regression below analyses data on 816 master's students at the Maryland School of Public Policy who entered between 2005 and 2012. The dependent variable is GPA in these classes.

Name Description

Age Age at entry to SPP in years

Gender 1= Male 0= Female

Black 1= African American 0 = Not African American

Asian 1= Asian American 0=Not Asian American

Hispanic 1= Hispanic American 0= Not Hispanic American

White 1= White American 0= Not White American

Att 1= Full Time 0= Not Full Time

Res 1= Maryland 0= Not Maryland

UGGPA Undergraduate GPA

GREV GRE Verbal Score

GREQ GRE Quantitative Score

UMCP 1= Undergraduate at UMD 0 = Not Undergraduate at UMD

Foreign 1= Foreign Student 0= Not Foreign Student

Y = GPA at UMD Master's Program

R² = .4586

Adjusted R² = .3990

Standard Error = .2286

Source SS D.F M.S.

Model 5.2213 13 .4016

Residual 6.1635 802 .0522

Total 11.3848 815 .0869

Variable Coefficient Standard Error T Pvalue 95% Confidence Interval

Intercept .7680 .3343 2.30 .023 .106 1.43

Age .0176 .0057 3.08 .003 .006 .029

Att .0038 .0722 .045 .910 -.139 .145

Res .1487 .0454 3.28 .001 .059 .239

Gender -.0268 .0424 -.63 .528 -.118 .057

UGGPA .3124 .0651 4.80 .000 .184 .441

Foreign .0193 .0992 .190 .846 -.177 .216

GREV .0002 .0003 .670 .591 -.0004 .0007

GREQ .0012 .0003 3.91 .000 .0006 .0018

UMCP -.1700 .0690 -2.46 .017 -.309 -.031

Black -.0035 .0700 -.050 .964 -.155 .148

Asian .1205 .1075 1.12 .264 -.092 .333

Hispanic .0055 .1044 .050 .958 -.201 .212

a). Summarize the most important findings from this regression analysis (15 points)

b). For the age variable, explain the Coefficient, the p-value and the meaning of a 95% confidence interval around the age variable. Please be sure to mention control variables when explaining the coefficient.

c) Should I recommend that my in-laws and their senior citizen friends enter the program because they are sure to do well? Discuss

d). What factors would you consider most important in evaluating whether this model from 2005-2012 is useful in predicting the GPA's of 2021 UMD Graduate Public Policy students?

e). Are there different effects from the GRE Verbal compared to GRE Quantitative sections? Does this difference surprise you?