The percentage of variation in the dependent Y variable explained by all independent X variables as a group, after controlling for sample size and the number of estimated coefficients, is given by:
A)R2.
B)corrected R2.
C)SEE.
D)Regression

Question

Quizplus · Accepted Answer

The corrected R2 takes into account the sample size and the number of estimated coefficients, making it a more accurate measure of the true explanatory power of the independent variables. R2 does not account for these factors and may overestimate the explanatory power. SEE is the standard error of estimate, which measures the average distance between the predicted values and the actual values, and regression just refers to the overall statistical model used to analyze the relationship between the dependent and independent variables. The corrected R2 takes into account the sample size and the number of estimated coefficients, giving a more accurate measure of the true relationship between the variables. R2 is not adjusted for the number of variables in the model, and SEE (standard error of estimate) and Regression are not measures of explained variation.

The Percentage of Variation in the Dependent Y Variable Explained