Based on the correlations below:
Y
X₁ 0.8
X₂ 0.7
we could say that x₁ accounts for 64 percent of the variation in y and x₂ accounts for 49 percent of the variation in y.So if both x's are included in a multiple regression model,then the resulting R-square = 1.13.

Question

Quizplus · Accepted Answer

This is false because it is not possible for the resulting R-square to be greater than 1. The R-square value is a measure of how well the regression model fits the data, and it can range from 0 to 1. Therefore, 1.13 is not a valid R-square value.

Based on the Correlations Below