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.

Which of these situations could be analyzed with regression analysis? A. relationship between gender (male or female) and opinion about death penalty (favor, oppose, uncertain). B. The relationship between weight and height for 12-year old girls. C. Comparison of four different age groups with regard to mean hours of watching televisions per day. D. Comparison of four different age groups with regard to proportion that opposes legalization of marijuana.

Which of the following is not an assumption for the use of the Pearson-Product Moment Coefficient of Correlation? A. The level of measurement of data is at least interval for both variables. B. The population from which the data are obtained is approximately normal. C. The data from both variables are pairs of observation measured from each of the items or individuals in the sample. D. The variances of the observations from both variables are homogeneous.