S R-sq R-sq(adj) R-sq(pred)
2.96876 73.17% 72.82% 72.40%
Coefficients
Term Coef SE Coef T-Value P-Value
Constant 35.827 0.770 46.51 0.000
Displacement -3.242 0.194 _____ _____
Fuel
Regular 2.135 0.452 4.73 0.000
Drive
F 3.075 0.539 _____ _____
R 3.311 0.541 6.12 _____
Regression Equation
Hwy MPG = 35.827 - 3.242 Displacement + 0.0 Fuel_Premium + 2.135 Fuel_Regular + 0.0 Drive_A + 3.075 Drive_F + 3.311 Drive_R
Sample Means
Drive N Mean
F 167 33.353
A 61 25.787
R 81 25.568
S R-sq R-sq(adj) R-sq(pred) 2.96876 73.17% 72.82% 72.40% Coefficients Term Coef SE Co
The regression equation is Sales = 0.20 + 2.60 Adbudget Predictor Coef SE Coef T P Constant 0.200 2.132 0.09 0.931 Adbudget 2.6000 0.6429 4.04 0.027 S = 2.03306 R-Sq = 84.5% R-Sq(adj) = 79.3% Analysis of Variance Source DF SS MS F P Regression 1 67.600 67.600 16.35 0.027 Residual Error 3 12.400 4.133 Total 4 80.000 a) What is the slope of the regression equation? b) Null and alternative hypothesis c) Is the slope significantly different than zero?...