If there is a very strong correlation between two variables, then the correlation coefficient must be A. any value greater than 1. B. much smaller than 0, if the correlation is negative. C. much larger than 0, regardless of whether the correlation is negative or positive. D. None of these.

The relationship between the number of beers consumed and the blood alcohol content was studied in 16 male college students by using the least squares regression. The following regression equation was obtained from the study: y = -0.0127+0.0180x The above equation implies that: A. each beer consumed increases blood alcohol by 1.27%. B. on the average, it takes 1.8 beers to increase blood alcohol content by 1%. C. Each beer consumed increases blood alcohol by an average amount of 1.8%. D. Each beer consumed increases blood alcohol by exactly 0.018 units.

In a One-way ANOVA, the "among group" variation is attributed to what source of variation? A. Unexplained variation B. Residual variation C. Experimental error D. Treatment effects

The Tukey-Kramer procedure is used for which of the following purposes? A. Test for differences in pairwise means. B. Test for normality of residuals. C. Test for independence of errors. D. Test for homogeneity of variances.

The correlation coefficient computed for the relationship between a dependent variable Y and an independent variable X is -0.35. This result means that A. 35% of the variation of the dependent variable Y is due to the linear relationship between Y and X. B. 12.25% of the variation of the dependent variable Y is due to the linear relationship between Y and X. C. There is a weak, negative relationship between Y and X. D. There is a very weak, negative relationship between Y and X.

Which of these correlations is the strongest? A. -0.71 B. 0.08 C. 0.62 D. -0.12

It measures how well the regression line represents the data and has values ranging from 0 to 1. A. r B. r^2 C. D. ^2