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There are many different ways to look at degrees of freedom. I wanted to provide a rigorous answer that starts from a concrete definition of degrees of freedom for a statistical estimator as this may be useful/satisfying to some readers:
In a Simple linear regression model, I have only Sxy and Syy data with me. How shall sxxI 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.
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