use r programming and Explain any transformations or modifications you made to the dataset. Create a linear regression model where "sq_ft_lot" predicts Sale Price. Get a summary of your first model and explain your results (i.e., R2, adj. R2, etc.) Get the residuals of your model (you can use 'resid' or 'residuals' functions) and plot them. What the does the plot tell you about your predictions? Use a qq plot to observe your residuals. Do your residuals meet the normality assumption