Everything in the images is also typed out below so if you would actually read what I have submitted before talking about the clarity of the images that would be great.

ST 314 Data Analysis 08 ST 314 Data Analysis 08 i. (1 point) Paste your plot. The dataset ST314ExamData.csv represents the midterm and final exam grades for students in the ST314 online and campus courses, for the last three consecutive terms. Use this data to complete a multiple linear regression analysis in R and answer the following questions. Final = Final Exam Score 250 Midterm = Midterm Exam Score, Term = Has three levels W18, Sp18, F18 Format = Has two levels Campus and Online Part 1. (6 points) Multivariate Visualization: 200 It is reasonable to consider that more than just midterm score may influence final exam score. Investigate the individual relationships between final exam score and the above explanatory variables. Use the R script Multivariate Exam Analysis.R to help you get started with the code. Final 150 a. Construct a scatterplot matrix including final and each of the explanatory variables. a. (1 point) Paste the plot. 0 0 00 20 --------- 150 200 250 200 1.5 20 25 30 1.0 12 141 18 20 00 0 00 0 100 100 160 200 250 109 150 200 250 F18 Sp18 W18 Term ii. (1 point) Describe the relationship. Visually does Term seem to have a 10 12 14 18 18 20 10 15 20 25 30 100 150 200 250 relationship with Final? Visually the only relationship we can see between term and final score is that they are all in the same range and have a mean close to each other meaning there is no visibally discernable relationship between term and final b. Create a side by side boxplot that looks at the relationship between Format and Final. i. (1 point) Past your plot. 20 b. (1 point) Do any of the variables have a visual relationship with Final? Looking at the scatterplot matrix it appears that the finals and midterm have a linear relationship but the other variables show no distinguishable relationship. b. The scatterplot matrix is not all that helpful for the categorical variables Term and Format. a. Create a side by side boxplot that looks at the relationship between Term and Final.ST 314 Data Analysis 08 ST 314 Data Analysis 08 Residuals: Min 1Q Median 3Q Max -114.779 -13.762 1.835 15.916 72.213 Coefficients: 250 Estimate Std. Error t value Pu(> | t|) (Intercept) 76.71561 5.44105 14.099