Kizspy | Question: 70
(Choose 1 answer)
(See picture)
A. Normality of error
B. Homoscedasticity
C. Independence of errors
D. None of the above
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 with
the residual plot and normal probability plot obtained from a data set of 30
different sharewares that he has developed:
Residuals
Download Residual Plot
Normal Probability Plot
120
120
100
100
80
80
60
60
40
40
20
0
Residuals
20
0
-20
-20
-40
-40
-60
-60
-80
-80
-100
-100
0.00
20.00 40.00
60.00
Download
80.00 100.00 120.00
-3
-1
0
1
2
3
Z Value
Which of the following assumptions appears to have been violated?
