Choose the one alternative that best completes the statement or answers the question.
-If the coefficient of determination is close to 1, then
A) the least squares regression line equation explains most of the variation in the response variable.
B) the least squares regression line equation has no explanatory value.
C) the sum of the square residuals is large compared to the total variation.
D) the linear correlation coefficient is close to zero.

Question

Quizplus · Accepted Answer

The coefficient of determination, often denoted as R^2, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). When it is close to 1, it indicates that the regression model explains a large proportion of the variance in the response variable, meaning the model fits the data well.

Choose the One Alternative That Best Completes the Statement or Answers