Answer
Yes, the point (460, 1805) is influential.
Work Step by Step
Let's remove this point and see what happens.
In MINITAB, enter the square footage values for Queens in C1 and in C2 enter the rent per month values for Queens (do not forget to remove the observation in which the square footage is 460 and rent per month is 1805).
Select Stats -> Regression -> Regression -> Fit Regression Model
Enter C2 in "Responses" and C1 in "Continuous Predictors"
The new least-squares regression line ($ŷ =b_1x+b_0$) will be shown in "Regression Equation", where C2 is ŷ (rent per month) and C1 is x (square footage)
$ŷ =2.531x-399$
The y-intercept changed substantially: from -34 to -399
