Which of the following best describes the coefficient of determination?
A)The coefficient of determination describes the percentage of variation in the x variable explained by the linear regression model on the y variable.
B)The coefficient of determination describes the direction of variation in the y variable explained by the linear regression model on the x variable.
C)The coefficient of determination describes the percentage of variation in the y variable explained by the linear regression model on the x variable.
D)The coefficient of determination describes the percentage of variation in the y variable unexplained by the linear regression model on the x variable.

Question

Quizplus · Accepted Answer

The coefficient of determination, also known as R-squared, is a measure of how well the linear regression model fits the data. It describes the percentage of variation in the y variable that is explained by the linear regression model on the x variable. Therefore, choice C is the correct answer. Choices A and D are incorrect because they describe the variation in the x or y variable that is unexplained by the model. Choice B is incorrect because it does not mention the coefficient of determination at all.

Which of the Following Best Describes the Coefficient of Determination