The ______ is the proportion of variation explained by regression.
A)standard error of the estimate
B)total sum of squares (SST)
C)correlation coefficient
D)coefficient of determination

Question

Quizplus · Accepted Answer

The coefficient of determination, also known as R-squared, is the proportion of variation in the dependent variable that is explained by the independent variable(s) in a regression model. It is calculated as the ratio of the sum of squared residuals (SSR) to the total sum of squares (SST). The value of R-squared ranges from 0 to 1, with higher values indicating a stronger relationship between the variables. Therefore, D is the best choice as it directly refers to the proportion of explained variation.

The ______ Is the Proportion of Variation Explained by Regression