The proportionate reduction in error is a measure of the:
A) amount of variance in the dependent variable explained by the independent variable.
B) correlation between two variables.
C) amount of variance in the independent variable explained by the dependent variable.
D) slope of a regression line.

Question

Quizplus · Accepted Answer

The proportionate reduction in error is calculated by comparing the error variance in a model with only the intercept (null model) to the error variance in the full model with both the independent and dependent variables. Therefore, it measures the amount of variance in the dependent variable that is explained by the independent variable, indicating the strength of the relationship between the two variables.

The Proportionate Reduction in Error Is a Measure of The