Answer
$β_0=3.859$
$β_1=-0.1049$
$Expected~GPA=3.3345$
Work Step by Step
In MINITAB, enter the Row Chosen values in C1 and in C2 enter the GPA values.
Select Stats -> Regression -> Regression -> Fit Regression Model$b_0=3.859$ and $b_1=-0.1049$
Enter C2 in "Responses" and C1 in "Continuous Predictors"
The least-squares regression line ($ŷ =b_1x+b_0$) will be shown in "Regression Equation", where C2 is ŷ (GPA) and C1 is x (Row Chosen)
$ŷ =-0.1049x+3.859$
That is:
$b_0=3.859$ and $b_1=-0.1049$
$b_0$ is the estimate for $β_0$ and $b_1$ is the estimate for $β_1$.
For the fifth row, that is, $x=5$:
$ŷ =-0.1049\times5+3.859=3.3345$
