Data Preprocessing 1. Generate box-plots of the LSTAT (% of lower status in the population) and MEDV (median home value) attributes and identify the cutoff values for outliers. Generate a scatterplot of MEDV against LSTAT; comment on how inclusion of the outliers would affect a predictive model of median home value as a function of % of lower status in the population. 2. MEDV has a somewhat longish tail and is not so normally distributed, so we will take a log transform, (use LMEDV= log(MEDV) ), and then predict LMDEV instead. You should convince yourself that this is a better idea by looking at the histograms to assess normality; however no need to submit such plots