2. Making scatterplots. Use the ggplot2 function to create the four scatterplots given below Add a regression line to each scatterplot [code for first scatterplot provided in the template]. Arrange the scatterplots in one figure. a) Make a scatterplot of BetaPlasma (y) on BetaDiet (x) and calculate the correlation coefficient, r. Report the correlation and describe the joint relationship between the two variables. b) Make a scatterplot of In (BetaPlasma (y)) on BetaDiet (x) and calculate the correlation coefficient, r. Report the correlation and describe the joint relationship between the two variables. c) Make a scatterplot of BetaPlasma (y) on In (BetaDiet (x)) and calculate the correlation coefficient, r. Report the correlation and describe the joint relationship between the two variables. d) Make a scatterplot of In (BetaPlasma) on In (BetaDiet) and calculate the correlation coefficient, r. Report the correlation and describe the joint relationship between the two variables. e) Based on your scatterplots and the histograms from Problem 1, do you recommend trying a natural log transformation for either variable or both to better meet assumptions for simple linear regression modeling? Briefly explain