Kizspy | Question: 50
(Choose 1 answer)
(See picture)
A. 74.67% of the variation in revenue can be explained by the variation in the number of downloads.
B. 75.54% of the variation in revenue can be explained by the variation in the number of downloads.
C. 74.67% of the variation in the number of downloads can be explained by the variation in revenue.
D. 75.54% of the variation in the number of downloads can be explained by the variation in revenue.
A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:
FUOVERFLO
Regression Statistics
Multiple R
0.8691
RSquare
0.7554
Adjusted R Square
0.7467
Standard Error
44.4765
Observations
30.0000
ANOVA
Regression
Residual
Total
SS
MS
F
Significance F
1
171062.9193 171062.9193
86.4759
0.0000
28 55388.4309 1978.1582
29 226451.3503
Coefficients Standard Error
1 Stat
P-value
Lower 95%
Upper 95%
Intercept
-95.0614
26.9183
-3.5315
0.0015
-150.2009
-39.9218
Download
3.7297
0.4011
9.2992
0.0000
2.9082
4.5513
Which of the following is the correct interpretation for the coefficient of determination?
