In addition to random sampling, interval-ratio level of measurement, and a normal sampling distribution, model assumptions for testing Pearson's r for significance include________.
A) bivariate normal distributions.
B) a linear relationship.
C) uniformity in the variance of the Y scores around the regression line for all values of X.
D) All of the answer choices

Question

Quizplus · Accepted Answer

All of the given choices are model assumptions for testing Pearson's r for significance. Bivariate normal distributions assumption means that the distribution of X and Y are normally distributed. A linear relationship implies that the relationship between X and Y is linear. Uniformity of variance around the regression line means that the variability of Y scores is consistent as X changes. Therefore, all of these assumptions need to be met to test Pearson's r for significance.

In Addition to Random Sampling, Interval-Ratio Level of Measurement, and a Normal