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SCENARIO 12-11
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:
Simple Linear Regression 12-41
-Referring to Scenario 12-11, there appears to be autocorrelation in the residuals.
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Q18: Referring to Scenario 12-10, which is
Q89: Referring to Scenario 12-5, the estimates of
Q92: Referring to Scenario 12-5, the overall or
Q116: If the plot of the residuals is
Q168: Referring to SCENARIO 13-4, at the 0.01
Q168: Referring to Scenario 10-11, the null hypothesis
Q174: Referring to SCENARIO 13-7, the net regression
Q220: Referring to SCENARIO 13-8, the estimated change
Q255: A regression had the following results: SST
Q283: Referring to SCENARIO 13-8, the predicted salary