Principles of Finance
Residuals, in the context of linear regression analysis, refer to the differences between the observed values of the dependent variable and the predicted values based on the regression model. They represent the unexplained or unaccounted-for variation in the data, providing insights into the model's fit and the potential for improvement.
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