In a regression analysis, the regression equation is given by y = 12 - 6x. If SSE = 510 and SST = 1000, then the coefficient of correlation is -0.7 -0.49 0.7
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Substituting the given values, we get R^2 = 1 - (510/1000) = 0.49. The coefficient of correlation (r) is the square root of the coefficient of determination. However, we need to consider the sign of the slope in the regression equation. Since the slope is Show more…
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