To determine the amount of variance in one measure due to the other measure you would calculate:

Question

Quizplus · Accepted Answer

To determine the amount of variance in one measure due to the other measure, you would calculate correlation coefficient (r) between the two measures. The correlation coefficient is a measure of the strength and direction of the linear relationship between two variables. It tells us how much of the variance in one measure can be explained by the other measure. Option A refers to calculating the sum of squares, which is a measure of the total amount of variance in a set of scores. Option B uses the formula for calculating a z-score, which standardizes a score by subtracting the mean and dividing by the standard deviation. Option D only provides one statistical test for one measure, but it does not tell us how much of the variance in that measure can be explained by another measure.

To Determine the Amount of Variance in One Measure Due ×\times×

To Determine the Amount of Variance in One Measure Due $\times$