Abstract
Linear Regression refers to a group of techniques for fitting and studying the straight-line relationship between two variables, and it is a simple approach to supervised learning. However, a simple linear regression model. Regression analysis is an important statistical method for the analysis of medical data. It enables the identification and characterization of relationships among multiple factors. It also enables the identification of prognostically relevant risk factors and the calculation of risk scores for individual prognostication. The goal in this chapter is to (i) develop basic concepts of linear regression from a probabilistic framework, (ii) estimate the parameters and hypothesis testing with linear models, and last but not least, (iii) linear regression R.
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