Car & Driver conducts comprehensive road tests on all new car models and reports the results in the "Road Test Digest". One variable measured is the time it takes a car to accelerate from 0 to 60 miles per hour. To model acceleration time, a regression analysis is conducted on the following data collected for a random sample of 129 new cars:
TIME60: Y = Elapsed time (in seconds) from 0 mph to 60 mph
MAX: X = Maximum speed attained (miles per hour)
Initially, the simple linear model E(y) = b0 + b1x was fit to the data. Computer printouts for the analysis are given below:
PREDICTOR
VARIABLES COEFFICIENT STD ERROR STUDENT'S T P
--------- ----------- --------- ----------- ------
CONSTANT 18.7171 0.63708 29.38 0.0000
MAX -0.08365 0.00491 -17.05 0.0000
R-SQUARED 0.6960 RESID. MEAN SQUARE (MSE) 1.28695
ADJUSTED R-SQUARED 0.6937 STANDARD DEVIATION 1.13444
SOURCE DF SS MS F P
---------- --- ---------- ---------- ----- ------
REGRESSION 1 374.285 374.285 290.83 0.0000
RESIDUAL 127 163.443 1.28695
TOTAL 128 537.728
CASES INCLUDED 129 MISSING CASES 0
A. sufficient evidence of a positive linear relationship
B. insufficient evidence of a negative linear relationship
C. sufficient evidence of a negative linear relationship
D. sufficient evidence of a downward curvilinear relationship
As r square is 0.6960 that is coefficient of determination.
Hence r is correlation coefficient is 0.8345
So that correction coefficient equal to 0.8345 indicate that there is high positive correlation between the X = Maximum speed attained (miles per hour) and Y= Elapsed time (in seconds) from 0 mph to 60 mph.
Hence, there is sufficient evidence of a positive linear relationship Between maximum speed and acceleration time.
Correct option is
a.sufficient evidence of a positive linear relationship.
Get Answers For Free
Most questions answered within 1 hours.