Kizspy Question: 49
(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:
Multiple R
RSquare
Regression Statistics
0.8691
0.7554
0.7467
44.4765
Adjusted R Square
Standard Error
Observations
ANOVA
30.0000
Regression
Residual
Total
1
28
29
55388.4309
226451.3503
ss
171062 9193 171062.9193)
1978.1582
MS
86.4759
Significance F
0.0000
Coefficients
Standard Error
Intercept
Download
-95.0614
3.7297
26.9183
0.4011
t Stat
-3.5315
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 slope coefficient?
