Ui, the OLS residuals, is termed as:
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Intuitively, OLS is fitting a line through the sample points such that the sum of squared residuals is as small as possible, hence the term is called least squares. The residual, �/i>, is an estimate of the error term, u, and is the difference between the fitted line (sample regression function) and the sample point.
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(Yi – Yi)²
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