estimated to increase by $ 3.7297 thousands.
B. For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297
thousands.
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:
C. For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.
D. For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297
thousands.
Regression Statistics
Multiple R RSquare
Adjusted R Square
0.7467
44.4765
30.0000
SS
Standard Error Observations
ANOVA
Regression
171062 9193
55388.4309
MS
171062.9193
Significance F
86.4759
0.0000
1
28
29 226451.3503
Residual
Total
0.8691
0.7554
1978.1582
F
hish
Exit 2
