Given that the sum of squares for error (SSE) is 52 and the sum of squares for regression (SSR) is 148, then the coefficient of determination is 0.74.

Name: Given that the sum of squares for error (SSE) is 52 and the sum of squares for regression (SSR) is 148, then the coefficient of determination is 0.74.
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Question

Quizplus · Accepted Answer

The coefficient of determination (R-squared) is calculated as SSR / (SSR + SSE). Thus, R-squared = 148 / (148 + 52) = 0.74. Therefore, the statement is true.

Given That the Sum of Squares for Error (SSE) Is