In a simple linear regression analysis, the standard error of the slope is:
A) a measure of the variation in the regression slope from sample to sample.
B) a measure of the amount of change in the dependent variable y for a one-unit change in the independent variable x.
C) the square root of the standard error of the estimate.
D) the square of the standard error of the estimate.

Question

Quizplus · Accepted Answer

The standard error of the slope measures the amount of variation in the slope estimates from sample to sample. It tells us how accurately the sample slope represents the true population slope. It is not related to the amount of change in the dependent variable for a one-unit change in the independent variable or the square root or square of the standard error of the estimate.

In a Simple Linear Regression Analysis, the Standard Error of the Slope