The management of a soft drink bottling company is trying to develop a forecasting model to predict delivery time (in minutes). They are using the number of cases delivered as the independent variable. The regression output is shown below. Regression Statistics Multiple R 0 9858 R Square 0.9718 Adjusted R Square 0.9702 Standard Error 1.9865 Observations 20 ANOVA df SS MS F Significance F Regression 1 2443.4660 2443 4660 619 1956 0 0000 Residual 18 71.0315 3.9462 Total 19 2514 4975 Coefficients Standard Error t Stat P-value Intercept 24 8345 1 0542 23.5573 0.0000 Number of Cases 0.1400 0.0056 24 8836 0.0000 What is the correct null hypothesis to determine whether there is a significant linear relationship between the number of cases delivered and the delivery time