Statistically, a positive parameter estimate indicates a positive correlation between the study variables and vice versa. Frost (2018) stated that in regression, a positive coefficient shows that when the independent (predictor variable) increases, this would lead to an increase in the dependent (response) variable. As shown in Figure 1 above, Kansas City has a negative parameter estimate, -2.301. This indicates a negative correlation between the variables, as illustrated in Figure 2. Therefore, the decision is to reject the null hypothesis and deduce that motor sales in Kansas City will drop by $2.301 every subsequent month