Using data set H, answer the questions given below. DATA SET H Pasta Sauce per Gram Total Calories and Fat Calories (n = 20 products) Product Fat Calories Per Gram Calories Per Gram Barilla Roasted Garlic & Onion 0.20 0.64 Barilla Tomato & Basil 0.12 0.56 Classico Tomato & Basil 0.08 0.40 Del Monte Mushroom 0.04 0.48 Five Bros Tomato & Basil 0.12 0.64 Healthy Choice Traditional 0.00 0.40 Master Choice Chunky Garden Veg. 0.08 0.56 Meijer All Natural Meatless 0.08 0.55 Newman's Own Traditional 0.12 0.48 Paul Newman Venetian 0.12 0.48 Prego Fresh Mushroom 0.38 1.25 Prego Hearty Meat−Pepperoni 0.33 1.00 Prego Hearty Meat−Hamburger 0.29 1.00 Prego Traditional 0.33 1.17 Prego Roasted Red Pepper & Garlic 0.25 0.92 Ragu Old World Style w/meat 0.25 0.67 Ragu Roasted Red Pepper & Onion 0.20 0.86 Ragu Roasted Garlic 0.19 0.70 Ragu Traditional 0.20 0.56 Sutter Home Tomato & Garlic 0.16 0.64 picture Click here for the Excel Data Set H Choose the dependent variable (the response variable to be "explained") and the independent variable (the predictor or explanatory variable). (a-1) Dependent Variable Calories per Gram Fat Calories per Gram (a-2) Independent Variable Calories per Gram Fat Calories per Gram (b) Obtain the regression equation. (Round your answers to 4 decimal places.) Y = X + (c) Calculate R2. (Round your answer to 4 decimal places.) R2 (d) Calculate the number of unusual residuals and number of outliers. Number of unusual residuals Number of outliers