The following sum of squares (total sum of squares and sum of squares due to error) were calculated from the previous regression equation. SST = 33800 and SSE = 5070. Which one of the following statements is incorrect? Select one: a. The sum of squares due to regression is 28730 b. The coefficient of determination is 0.85 c. The correlation coefficient is ±0.72 d. The sign of the slope of the regression equation determines the sign of the correlation coefficient. e. SST = SSR + SSE
Added by Davis M.
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The sum of squares due to regression (SSR) is calculated as SST - SSE. So, 33800 - 5070 = 28730. This statement is correct. b. The coefficient of determination (R^2) is calculated as SSR/SST. So, 28730/33800 = 0.85. This statement is correct. c. The correlation Show more…
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