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(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 dollars in
expected revenue, the expected number of
downloads is estimated to increase by 3.7297
thousands.
C. For each increase of 1 thousand
downloads, the expected revenue is estimated
to increase by $3.7297 thousands.
D. For each decrease of 1 thousand
downloads, the expected revenue 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
obtained from a data set of 30 different sharewares that he has developed:
Multiple R
RSquare
Regression Statistics
Adjusted R Square
Standard Error
Observations
ANOVA
0.8691
0.7554
0.7467
44.4765
30.0000
FUO.sh
sh the exam.
Regression
Residual
Total
Intercept
Download
1
SS
171062 9193
28
29
55388.4309
226451.3503
MS
171062 9193
1978.1582
F
86.4759
Significance F
0.0000
Coefficients
-95.0614
3.7297
Standard Error
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?
