Moreover, the analyst wanted to figure out whether there are some associations among various categories. So, the following tables were produced, see table 4. Table 4: Linear Regression coefficients table for selected categories as independent variables versus the total_amount as the dependent variable. Variables Coefficient (Intercept) -5.641 Appliances_Amount 0.91 Books_Music_Amount 4.29 Clothing_Amount 0.993 Direct_Marketing_Amount 1.007 Entertainment_Amount -8.453 Fitness_Amount 3.685 Food_Amount -0.739 Gas_Amount 13.584 Based on the given values in table 4, answer the following questions: The analyst concluded that the most significant contribution to the total amount comes from a. Gas category. b. Services category. c. Books & Music category. d. Telcos category