Which of the following statements are not correct?
A) The coefficient of determination, denoted by $Y^ { 2 }$,
Is interpreted as the proportion of observed y variation that cannot be explained by the simple linear regression model.
B) The higher the value of the coefficient of determination, the more successful is the simple linear regression model in explaining y variation.
C) If the coefficient of determination is small, an analyst will usually want to search for an alternative model (either a nonlinear model or a multiple regression model that involves more than a single independent variable).
D) The coefficient of determination can be calculated as the ratio of the regression sum of squares (SSR) to the total sum of squares.
E) All of the above statements are correct.

Question

Quizplus · Accepted Answer

The coefficient of determination is denoted by $R^2$, not $Y^2$, and it represents the proportion of the variance in the dependent variable that is predictable from the independent variable(s), not the variance that cannot be explained.

Which of the Following Statements Are Not Correct? A) the Coefficient

Which of the Following Statements Are Not Correct?
A) the Coefficient