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In a Simple linear regression model, I have only Sxy and Syy data with me. How shall I derive Sxx, linking Sxy and Syy based on first principles? I know the formulas separately. I want to find Sxx, given only Sxy and Syy.

SXX. SXX is one of the components computed in finding the correlation and regression. It is a measure of variability. It is also known as the sum of squares of the variable x. Key Vocabulary: Standard Deviation: The formula for standard deviation uses the sum of the squares of the deviations from the mean.

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