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: a. By increasing the amount of fitness category by one dollar, the total amount ($) will not be affacted. b. By increasing the amount of fitness category by one dollar, the total amount ($) will increase by 3.685 dollars. c. By increasing the amount of fitness category by one dollar, the total amount ($) will decrease by 3.685 dollars. d. By increasing the amount of fitness category by one dollar, the total amount ($) will increase by 3.685 dollars in addition to $5.641