Answer (Choose 1 answer)
(See picture)
B. 74.67% of the variation in revenue can be explained by the variation in the number of downloads.
A. 75.54% of the variation in the number of downloads can be explained by the variation in revenue.
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 revenue can be explained by the variation in the number of downloads.
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:
Regression Statistics
Multiple R RSquare
0.8691
0.7554
Adjusted R Square
0.7467
Standard Erro
44.4765
Observations
30.0000
ANOVA
Regression
Residual
Total
1
28
55388.4309
SS
MS 171062 9193 171062 9193
1978. 1582
F
86.4759
Significance F 0.0000
29 226451.3503
Coefficients Standard Enoг
Intercept Download
-95.0614
26.9183
3.7297
0.4011
Stat
-35315
9.2992
P-value
0.0015
0.0000
Lower 95%
-150.2009
2.9082
Upper 95%
-39.9218
4.5513
Which of the following is the correct interpretation for the coefficient of determination?
Ext 48
