Question 16 1 pts Solve the problem. In a comprehensive road test on new car models, one variable measured is the time it takes the car to accelerate from 0 to 60 miles per hour. To model acceleration time, a regression analysis is conducted on a random sample of 129 new cars. TIME60: y = Elapsed time (in seconds) from 0 mph to 60 mph x = Maximum speed attained (miles per hour) MAX The simple linear model Ely) = Bo + B1x was fit to the data. Computer printouts for the analysis are given below: NWEIGHTED LEAST SQUARES LINEAR REGRESSION OF TIME60 PREDICTOR VARIABLES COEFFICIENT STD ERROR STUDENT'ST P CONSTANT 18.7171 0.63708 29.38 0.0000 MAX -0.08365 0.00491 -17.05 0.0000 R-SQUARED ADJUSTED R-SQUARED 0.6960 0.6937 RESID. MEAN SQUARE (MSE) STANDARD DEVIATION DF F 290.83 SOURCE REGRESSION RESIDUAL TOTAL P 0.0000 MS 374.285 1.28695 1 127 128 SS 374.285 163.443 537.728 CASES INCLUDED 129 MISSING CASES O Approximately what percentage of the sample variation in acceleration time can be explained by the simple linear model? -17% 8% O 70% O 0%