In bivariate regression, if the F value is not significant (say .051), then:
A) we accept the null hypothesis that a straight-line model fits our data.
B) we reject the null hypothesis that a straight-line model does not fit our data.
C) we abandon our efforts to analyze the two variables.
D) we check for outliers.
E) we rerun the regression.
A company offering a predetermined marketing research process to generate
information to measure customer satisfaction would be an example of a(n):
A) experimental services firm.
B) syndicated data services firm.
C) packaged services firm.
D) geodemography research firm.
E) synthetic services firm.
Which of the following best represents the disadvantages of conducting test markets as
discussed by the authors?
A) cost, competitor intervention, and government regulations of test markets