Solutions to Tutorial 5 Problems Source Sum of Squares df Mean Square F-test Regression Residual Total ANOVA Table Variable Coefficients s.e. T-test P-value Constant * *.7941* X *6.35<.0001* n=18R^2=.716*Ra^2=.698S=7.342*df=16 Coefficient Table Problem 1

Problem 2

The Full Medel for (a),(b), and (c ) Results for: P081.txt Regression Analysis: Sales versus Age, HS, Income, Black, Female, Price The regression equation is Sales = Age HS Income Black Female Price Predictor Coef SE Coef T P Constant Age HS Income Black Female Price S = R-Sq = 32.1% R-Sq(adj) = 22.8% Analysis of Variance Source DF SS MS F P Regression Residual Error Total

The RM for (b) Regression Analysis: Sales versus Age, Income, Black, Price The regression equation is Sales = Age Income Black Price Predictor Coef SE Coef T P Constant Age Income Black Price S = R-Sq = 32.0% R-Sq(adj) = 26.1% Analysis of Variance Source DF SS MS F P Regression Residual Error Total

(d) Regression Analysis: Sales versus Age, HS, Black, Female, Price The regression equation is Sales = Age HS Black Female Price Predictor Coef SE Coef T P Constant Age HS Black Female Price S = R-Sq = 26.8% R-Sq(adj) = 18.6% Analysis of Variance Source DF SS MS F P Regression Residual Error Total

(e) Regression Analysis: Sales versus Age, Income, Price The regression equation is Sales = Age Income Price Predictor Coef SE Coef T P Constant Age Income Price S = R-Sq = 30.3% R-Sq(adj) = 25.9% Analysis of Variance Source DF SS MS F P Regression Residual Error Total

(f) Regression Analysis: Sales versus Income The regression equation is Sales = Income Predictor Coef SE Coef T P Constant Income S = R-Sq = 10.6% R-Sq(adj) = 8.8% Analysis of Variance Source DF SS MS F P Regression Residual Error Total