\fMath Reading Writing Corr: 0819*\" Corr: 0306*\" 0.02- free/reduced: 0305*\" free/reduced: 0787*\" 1?, 0.01- 3 standard: 0799*\" standard: 0778*\" 0.00- 100- Corr: 0954*\" 80- It free/reduced: 0956*H 3 60- g. 'D 40- standard: 0947*\" 5 it: 6 25 50 75 100 40 60 80 100 20 40 60 80 100 Math Reading 0.025 - Writing 0.020 - Corr: 0.819*** Corr: 0.806*** 0.015 - completed: 0.822*** 0.010 - completed: 0.813*** Math 0.005 - none: 0.814*** none: 0.807*** 0.000 - 100 - 80 - Corr: 0.954*** 60 - completed: 0.947*** Reading 40 - none: 0.956*** 100 - 80 - 60 - Writing 40- 20 - . 25 50 75 100 40 60 80 100 20 40 60 80 100Some EDA on joint relationships among the three quantitative variables. In the template we provide code to look at pairwise joint distributions of the three quantitative variables. The code produces three different plots. You will need to install and attach the GGally and the ggcorrp lot packages to run the code. a) Summarize the joint relationships you observe in the rst plot. b) Summarize the additional information about the joint relationships by lunch type that you observe in the second plot relative to the rst plot. c) Summarize additional information you glean about the joint relationships by test prep type that you observe in the third plot relative to the first and second plots