Answer
$ŷ=90.00-1.943x_2+0.632x_3$
There is enough evidence to conclude that there is a linear relation between both explanatory variables, $x_2$ and $x_3$, with the response variable, $y$.
Work Step by Step
In MINITAB, enter the $x_2$ values in C1, the $x_3$ values in C2 and the $y$ values in C3.
Select Stats -> Regression -> Regression -> Fit Regression Model
Enter C3 in "Responses" and C1 C2 in "Continuous Predictors"
The new least-squares regression line will be shown in "Regression Equation", where C3 is $ŷ$, C1 is $x_2$ and C2 is $x_3$
$ŷ=90.00-1.943x_2+0.632x_3$
$H_0: β_2=β_3=0$ versus $H_1: at~least~one~β_i\ne0$
$F_0=21.19$ with a P-value $=0.001\ltα$. Reject the null hypothesis.
1) $H_0: β_2=0$ versus $H_1: β_2\ne0$
$t_0=-3.02$ with a P-value $=0.019\ltα$. Reject the null hypothesis.
2) $H_0: β_3=0$ versus $H_1: β_3\ne0$
$t_0=2.52$ with a P-value $=0.040\ltα$. Reject the null hypothesis.
