17. Simple Linear Regression Model

Chapter 17 kicks off Part V of the book on introduction to statistical modelling. It discusses the concepts related to simple regression modelling with many practical examples. The concepts of estimation, inference and predictions are discussed along with the required theoretical derivations. Simultaneously, illustrations are carried along with R code so that the reader can immediately transfer their skills into the practical domain.

See the Chapter 17 code and output file for the R illustrations provided in this chapter.

Correlation 0Correlation 1Curvature PlotFat BoxplotsFat Scatter PlotHeteroscedasticity PlotLog Fat Scatter PlotOutlier PlotQQ Plot Body FatRegression ErrorsResiduals vs Leverage Body FatResiduals vs Fitted Body FatStructural PlotStudentised Body Fat