(12
(Choose 1 answer)
(See picture)
A. For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.
B. For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands
C. For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.
D. 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:
Multiple R
RSquare
Regression Statistics
0.8691
0.7554
0.7467
44.4765
30.0000
Adjusted R Square
Standard Error
Observations
ANOVA
SS
MS 171062 9193
171062 9193
55388.4309
1978, 1582
29 226451.3503
of
Regression
Residual Total
1
28
F
86.4759
Significance F 0.0000
ni
Coefficients
Standard Error
Intercept
Download
-95.0614
3.7297
26.9183
04011
1 Stat
-3.5315
9.2992
P-value
Lover 95%-150.2009
0.0015
0.0000
2.9082
Lipper 95%-39.9218
4.5513
Which of the following is the correct interpretation for the slope coefficient?
