further reading an excellent overview of regression is provided in [ and an accessible mathematical treatment of linear regression models can be found in [ for extensions to nonlinear regression we refer the reader to [ practical introduction to multilevel/hierarchical models is given in [ for further discussion on regression with discrete responses (classificationwe refer to and the further reading therein on the important question of how to handle missing datathe classic reference is [ (see also [ ]and modern applied reference is [ exercises following his mentor francis galtonthe mathematician/statistician karl pearson conducted comprehensive studies comparing hereditary traits between members of the same family figure depicts the measurements of the heights of fathers and their adult sons (one son per fatherthe data is available from the book' github site as pearson csv height son (in height father (infigure scatterplot of heights from pearson' data (ashow that sons are on average inch taller than the fathers (bwe could try to "explainthe height of the son by taking the height of his father and adding inch the prediction line (red dashedis given figure the black solid line is the fitted regression line this line has slope less than and demonstrates galton' "regressionto the average find the intercept and slope of the fitted regression line for the simple linear regression modelshow that the values for and that solve the