Question $14(1$ point$)$

Here are the two datasets:

Notice that the second dataset uses $0$ and $1$ for ExamScore $($a binary label$)$ and the

first dataset simply has the numeric scores. "ExamScore" is the LABEL of both

datasets. You can think of the label as the target variable or dependent variable for

the first dataset and you can think of the label as the category for the second

dataset. Notice also that the data itself is the same for both datasets. Only the label

$($ExamScore$)$ is represented differently for each dataset.

Take a moment to look at the datasets. Look at the variables. Think about what the

data represents. GPA is the student's GPA. StudyTime$\_$hrs is the number of hours the

student studies each day. HrsSocialMedia$\_$day is the number of hours the student

spends on social media each day.

Next, download and review all of the following R code. ExamScore$\_$Rcode.txt Take

your time. Think about what each line of code is doing.

Using the $R$ code and comments contained in the $R$ code, choose the option that

correctly represents the linear regression equation $($model$).$

a$)$ ExamScore $=68\mathrm{.}451$ GPA $+{2\mathrm{.}722}^{**}$ StudyTime$\_$hrs

$+{1\mathrm{.}909}^{}$HrsSocialMedia$\_$day

b$)$ ExamScore $=68\mathrm{.}451+1\mathrm{.}310$ GPA $+{2\mathrm{.}722}^{**}$ StudyTime$\_$hrs

$-{1\mathrm{.}909}^{**}$ HrsSocialMedia$\_$day

c$)$ ExamScore $=-68\mathrm{.}451-{1\mathrm{.}310}^{**}$ GPA $+{2\mathrm{.}722}^{**}$ StudyTime$\_$hrs

$+{1\mathrm{.}909}^{**}$ HrsSocialMedia$\_$day

d$)$ ExamScore $={1\mathrm{.}310}^x$ GPA $+{2\mathrm{.}722}^{**}$ StudyTime$\_$hrs $-{1\mathrm{.}909}^{**}$ HrsSocialMedia$\_$day

$-68\mathrm{.}451$

e$)$ ExamScore $=-{1\mathrm{.}310}^{**}$ GPA $-{1\mathrm{.}909}^{**}$ StudyTime$\_$hrs$-{2\mathrm{.}722}^{**}$ HrsSocialMedia$\_$day

$+68\mathrm{.}451$