Kizspy | Question: 90
(Choose 1 answer)
(See picture)
A. For each decrease of 1 thousand downloads, the expected revenue 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 dollars in expected revenue, the expected number of downloads 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:
Regression Statistics
Multiple R
0.8691
RSquare
0.7554
Adjusted R Square Standard Error
0.7467
44.4765
Observations
30.0000
ANOVA
df
SS
MS
Regression
Residual
Total
1 171062.9193 171062 9193
28 55388.4309 1978.1582
29 226451.3503.
F
86.4759
Significance F
0.0000
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
Download
-95.0614
3.7297
26.9183
-3.5315
0.0015
-150.2009
-39.9218
0.4011
9.2992
0.0000
2.9082
4.5513
Which of the following is the correct interpretation for the slope coefficient?
