We then ran a least square fitting of second-order polynomials on these three features in the regression. The higher order form merely improves the regression result to  ~70%. No second-order term has a significant coefficient in the model. Thus, although the simple linear regression model is learned through a greedy approach, we expect it's stable enough to indicate the importance of these three features in controlling the performance.