Gas Sales Impact on Convenience Store Revenue: A Multiple Regression Analysis

To compare the sales of the two stations while including Volume in the analysis, we can perform a multiple regression analysis. The dependent variable would be Sales, and the independent variables would be Volume and Site (as a categorical variable with two levels).

After performing the analysis, we can look at the coefficients for the independent variables. The coefficient for Volume would tell us how much of an increase in sales we would expect for a one-unit increase in Volume, holding Site constant. The coefficient for Site would tell us how much of a difference in sales we would expect between the two sites, holding Volume constant.

If the coefficient for Volume is positive and statistically significant, we can conclude that there is a positive relationship between gas sales and convenience store sales. If the coefficient for Site is statistically significant and there is a significant difference between the two sites, we can conclude that one site has higher sales than the other, holding Volume constant.

Based on this analysis, we can summarize the comparison of sales as follows: There is a positive relationship between gas sales and convenience store sales, and one of the sites has higher sales than the other, holding gas sales constant. However, we would need to look at the actual coefficients and significance levels to provide more detailed information about the magnitude of the relationships and the significance of the differences between the two sites.