Stat 311 Homework 3 – this homework uses the student performance data that was used in HW2 - ALL ANSWERS ARE CORRECT

Stat 311 Homework 3 – this homework uses the student performance data that was used in HW2 1 1. Some basic univariate visualization of the reading and math scores. In the HW3 template, we provide ggplot code to make histograms and boxplots of the Reading and Math variables (the Writing variable was explored in HW2). We use ggarrange from the ggpubr package (install the package first if you did not install it when playing with the demo code in Quantitative.Rmd) to put all four graphs in a single figure. Summarize the distributions of both variables based on what you observe in the plots. 2. In the HW3 template, we provide code to explore the joint relationships among the three quantitative variables. The code provides pairwise joint distributions and correlations for the three quantitative variables. The code produces two different figures, one ignoring lunch status and one including lunch status. You will need to install and attach the GGally and the ggcorrplot packages to run the code. Include the correlations as part of your summary. a) Summarize the joint relationship between math and writing scores based on the scatterplot in the in the first plot (first scatterplot in third row of black and white figure; correlation is in third cell of first row). b) Summarize the additional information about the joint relationship between math and writing scores, by lunch type, that you observe in th