Butler Trucking company is an independent trucking company in southern California A major portion of Butler’s business involves deliveries thought its local are. To develop better work schedules, the mangers want to estimate the total daily travel time for their drivers. Thus a multiple linear regression model is estimated using the numbers of miles traveled in marking the daily deliveries and number of deliveries as the independent variable (X). The dependent variable is the travel time (y). Part of the Excel output is given below. Briefly discussion how well the model fits the data Make sure you specify what criteria you used and your reasoning. SUMMARY OUTPUT Regression Statistics 0.9507 0.904 0.876 0.5731 10 Multiple R R Square Adjusted R Square Standard Error Observations Coefficients Standard Error t Stat P-value 0.9515 0.009888 0.2211 0.8687 0.061135 0.9234 0.91 6.18 4.18 Intercept Miles Deliveries 0.392 0.004