The model $y = 0.25x + 80$ runs below the cluster of data points, so it systematically underestimates $y$.

Raising the line by increasing the $y$-intercept by $40$ shifts it up to pass through the center of the data, giving the best fit. (Changing the slope would tilt the line rather than recenter it.)