Which of the following statements must be true, if the regression sum of squares (SSR) is 83.6?
A) The correlation coefficient is 0.95
B) The slope of the regression line is positive.
C) The error sum of squares (SSE) is larger than or equal to 83.6
D) The total sum of squares (SST) is larger than or equal to 83.6
D
Business
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