Write the Best-Fit Linear Model for the Data $3.5$ And 40 the Following Data Were Obtained Regarding Their GPAs on in a Graduate

Write the best-fit linear model for the data.
-Ten students in a graduate program were randomly selected. Their grade point averages (GPAs) when they entered the program were between $3.5$ and 4.0. The following data were obtained regarding their GPAs on entering the program versus their current GPAs. The linear model for this data is $y = 3.67 + 0.0313 x$ , where $x$ is entering GPA and $\mathrm { y }$ is current GPA. Use this model to predict current GPA of a student whose entering GPA is 3.1.
\begin{tabular} { c c }
$$\begin{array}{l}\begin{array} {cc } \text { Entering GPA}&\text { Current GPA }\\ \hline 3.5 & 3.6 \\3.8 & 3.7 \\3.6 & 3.9 \\3.6 & 3.6 \\3.5 & 3.9 \\3.9 & 3.8 \\4.0 & 3.7 \\3.9 & 3.9 \\3.5 & 3.8 \\3.7 & 4.0\end{array}\end{array}$$

A) 3.57
B) 3.28
C) 3.39
D) 3.77