A retail analyst is trying to understand what drives total m…

A retail analyst is trying to understand what drives total monthly spending by customers. She finds that: The correlation between income and spending is r = 0.45 The correlation between loyalty program membership (1 = member, 0 = non-member) and spending is r = 0.50 She then runs a multiple regression with spending as the dependent variable and includes income and loyalty program membership as independent variables. Surprisingly, income becomes statistically insignificant, while loyalty program membership remains significant. Which of the following best explains why income was significant in the correlation analysis but not in the regression?

You are a statistics professor at a Florida university, and…

You are a statistics professor at a Florida university, and you would like to know the effectiveness of three different exam preparation programs.  As part of this experiment, thirty students are recruited to participate in the study.  Students are randomly assigned to use one of the three programs for the next two months to prepare for a graduate school entrance exam.  At the end of this period, all students are given the same exam. The results are listed in the table below. Complete the ANOVA Table shown below. Source            Sum of Squares          Degrees of Freedom          Mean Squares          F-Statistic          p-value Treatments                A                                       2                                 96,1                          B                 0.11385                    Error                       1100.6                                 C                                   D Total                            E                                      29 State the correct values for A, B, C, D, and E.