MARKETING INTELLIGENCE FINAL EXAM | QUESTIONS & ANSWERS (VERIFIED) | LATEST UPDATE | GRADED A+

Analysis of variance and analysis of covariance are tests of differences between two means or median. Correct Answer: false The null hypothesis for ANOVA is that all means are not equal. Correct Answer: false The correlation coefficient between two variables varies depending on their underlying units of measurement. Correct Answer: false A correlation matrix indicates the coefficient of correlation between each pair of variables. Correct Answer: true Page 2 of 10 A statistical technique for examining the differences among means for two or more populations is called? Correct Answer: analysis of variance (ANOVA) Which statement is correct concerning one-way ANOVA? Correct Answer: a treatment is the same as a particular combination of factor levels and only one categorical variable is involved ______is best to use to determine how strongly sales are related to advertising expenditures. Correct Answer: product moment correlation (r) r^2 measures: Correct Answer: the proportion of variation in one variable that is explained by the other r = 0 indicates: Correct Answer: X and Y don't have a linear relationship A test of significance of the main effect for each individual factor is a test of the? Correct Answer: significance of the main effect