The ordinary least squares method ensures that the residuals will be normally distributed.

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The ordinary least squares method does not guarantee that the residuals will be normally distributed. However, the method does require that the residuals have constant variance and are independent of each other, which are assumptions that allow for hypothesis testing and confidence intervals to be valid. If the normality assumption is not met, alternative modeling methods or transformations may need to be used.

The Ordinary Least Squares Method Ensures That the Residuals Will