How would you find the correlation coefficient from given Sum of Squares values (Regression and Error) and regression values - slope of the estimate and standard error?
Any help would be appreciated.
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For simple linear regression, the regression coefficient and correlation coefficient have following relation (when sum of square (SS) due to regression and error are know).
correlation coefficient = sign(slope) * sqrt[SS(regression)/SS(Total)]
SS(Total) = SS(regression)+SS(Error).
sign(slope) = 1 if slope >0. = -1 if slope < 0, and =0 if slope = 0.