Regression Analysis Price versus Mileage Liter Analysis of V

Regression Analysis: Price versus Mileage, Liter Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value 2 25823830697 12911915348 196.48 0.000 1 1381011542 1381011542 21.02 0.000 1 24218240322 24218240322 368.54 0.000 65714797 65861525 Regression Mileage Liter Error 801 52637552164 Lack-of-Fit 799 52623358855 14193309 803 78461382861 9.28 0.102 7096655 Pure Error Total Model Summary R-sq S 8106.47 32.91 R-sq (adj) 3275% R-sq (pred) 32 . 324 Coefficients Term Constant Mileage 0.1600 0.0349 -4.58 0.000 1.00 Liter Coef SE Coef T-Value P-Value VI 9427 1095 8.61 0.000 4968 259 19.20 0.000 1.00 Regression Equation Price 9427-0.1600 Mileage + 4968 Liter

Solution

(A) is correct because normal probability plot should lie close to (red) straight line. (B) and (C) are wrong because p-value are almost zero for their slope coefficients.