A strong negative correlation will lead to a large positive coefficient of determination

Question

Quizplus · Accepted Answer

The coefficient of determination, denoted as R^2, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). It is the square of the correlation coefficient (r). Whether the correlation is positive or negative, squaring it will result in a positive value, indicating the strength of the relationship, not the direction. A strong negative correlation will result in a high R^2 value, indicating a large proportion of variance in the dependent variable is explained by the independent variable.

A Strong Negative Correlation Will Lead to a Large Positive