5: Regression
Abstract
This chapter offers an extensive overview of regression analysis and its uses. It discusses various approaches for assessing and enhancing linear regression models and ways to deal with overfitting in regression models. The basics of linear regression are explained at the outset of the chapter, along with the idea of regression analysis. The analysis of linear regression models is then covered, along with considerations of the coefficient of determination (R2), standard error of regression, and F-statistic. The modeling of relationships between numerous independent factors and a dependent variable is also investigated in multidimensional linear and polynomial regression. The difficulties of overfitting in regression models ...
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