Answer
There is no evidence that multicollinearity may be a problem.
Work Step by Step
In MINITAB, enter the $x_1$ values in C1, the $x_2$ values in C2, the $x_3$ values in C3, the $x_4$ values in C4 and the $y$ values in C5.
Select Stat -> Basic Statistics -> Correlation
In variables enter C1 C2 C3 C4 C5. You may deselect "Display p-values"
Click OK.
Since any of the correlations between $x_1$ and $x_2$, $x_1$ and $x_3$, $x_1$ and $x_4$, $x_2$ and $x_3$, $x_2$ and $x_4$, $x_3$ and $x_4$ (that is, the correlations between the explanatory variables) are not greater than 0.7 or less than -0.7, there is no evidence that multicollinearity exists.
