7. The Stata data set "college_gpa" has data on students' college GPAS, high school GPAS, ACTscores, lectures skipped during the academic year, and other characteristics. We wish to examinethe predictors of college GPAS. You must submit your do-file (commands).a) Regress college GPA on high school GPA and write the estimated regression line.b) Interpret the intercept of your regression in a sentence. Does this coefficient make sense?nExplainc) Interpret the coefficient on high school GPA in a sentence. Does this coefficient makesense? Explain.reg colGPA hsGPASourcedfMSNumber of obs141%3DF(1, 139)33.80Model5.584781641 5.58478164Prob > Fe.0000Residual22.9668501139 .165229138R-squaredAdj R-squared0.1956%3D0.1898%3DTotal28.5516318140 .203940227Root MSE.40648colGPACoef.Std. Err.tP>|t|[95% Conf. Interval]hsGPA.6242948.10738165.810.000.4119822.8366073_cons89025436692632.430.017647755

Regression is a statistical technique used in finance, investing, and other fields to identify the…

7. The Stata data set "college gpa" has data on students' college GPAS, high school GPAS, ACT scores, lectures skipped during the academic year, and other characteristics. We wish to examine the predictors of college GPAS. You must submit your do-file (commands). a) Regress college GPA on high school GPA and write the estimated regression line. b) Interpret the intercept of your regression in a sentence. Does this coefficient make sense? Explain c) Interpret the coefficient on high school GPA in a sentence. Does this coefficient make sense? Explain. reg colGPA hsGPA Source df MS Number of obs 141 %3D F(1, 139) 33.80 %3D Model 5.58478164 1 5.58478164 Prob > F e.0000 Residual 22.9668501 139 .165229138 R-squared Adj R-squared 0.1956 %3D 0.1898 Total 28.5516318 140 .203940227 Root MSE %3D .40648 colGPA Coef. Std. Err. P>|t| [95% Conf. Interval] hsGPA .6242948 .1073816 5.81 0.000 .4119822 .8366073 cons .890254 .3669263 2.43 0.017 64775

7. The Stata data set "college gpa" has data on students' college GPAS, high school GPAS, ACT scores, lectures skipped during the academic year, and other characteristics. We wish to examine the predictors of college GPAS. You must submit your do-file (commands). a) Regress college GPA on high school GPA and write the estimated regression line. b) Interpret the intercept of your regression in a sentence. Does this coefficient make sense? Explain c) Interpret the coefficient on high school GPA in a sentence. Does this coefficient make sense? Explain. reg colGPA hsGPA Source df MS Number of obs 141 %3D F(1, 139) 33.80 %3D Model 5.58478164 1 5.58478164 Prob > F e.0000 Residual 22.9668501 139 .165229138 R-squared Adj R-squared 0.1956 %3D 0.1898 Total 28.5516318 140 .203940227 Root MSE %3D .40648 colGPA Coef. Std. Err. P>|t| [95% Conf. Interval] hsGPA .6242948 .1073816 5.81 0.000 .4119822 .8366073 cons .890254 .3669263 2.43 0.017 64775

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4: Estimating Demand

Section: Chapter Questions

Problem 8E

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