'I) Can we predict the calories in a fast-food product if we know the amount of protein in that product? Several fast-food products were examined and the number of calories and amount of protein (in grams) were recorded. In the sample, the smallest and largest amounts of protein were 4 grams and 22 grams. respectively. Analyzing the data resulted in the following information: Correlation of Protein and Calories = r = -O.B7 The regression equation is Calories = 302.5 0.51 (Protein) Interpret the correlation coefcient. There is a: 0 strong negative linear relationship between protein amount and calories. 0 weak negative linear relationship between protein amount and calories. 0 strong positive linear relationship between protein amount and calories. 0 weak positive linear relationship between protein amount and calories. 2) Can we predict the calories in a fast-food product if we know the amount of protein in that product? Several fast-food products were examined and the number of calories and amount of protein (in grams) were recorded. In the sample, the smallest and largest amounts of protein were 4 grams and 22 grams, respectively. Analyzing the data resulted in the following information: Correlation of Protein and Calories = r = -0.87 The regression equation is Calories = 302.5 0.51 (Protein) Predict the number of calories for a fast-food product that has 15 grams of protein. 0 302.50 calories 0 301.99 calories 0 294.85 calories 0 None ofthe above 3) Can we predict the calories in a fastfood product if we know the amount of protein in that product? Several fastfood products were examined and the number of calories and amount of protein (in grams) were recorded. In the sample, the smallest and largest amounts of protein were 4 grams and 22 grams, respectively. Analyzing the data resulted in the following information: Correlation of Protein and Calories = r = -0.87 The regression equation is Calories = 302.5 0.51 (Protein) Predict the number of calories for a fast-food product that has 27 grams of protein. 0 302.50 calories 0 288.73 calories 0 275.50 calories 0 None ofthe above 4) Can we predict the calories in a fastfood product if we know the amount of protein in that product? Several fastfood products were examined and the number of calories and amount of protein (in grams) were recorded. In the sample, the smallest and largest amounts of protein were 4 grams and 22 grams, respectively. Analyzing the data resulted in the following information: Correlation of Protein and Calories = r = -0.87 The regression equation is Calories = 302.5 0.51 (Protein) Choose the most appropriate interpretation of slope. O For every extra calorie increase, the amount of protein goes down by 0.51 grams. 0 For every extra gram of protein in the product, the number of calories goes down by 0.51 grams. 0 For every 0.51 grams of protein, the calories ofthe product goes down by 3025 grams. 0 For every extra gram of protein in the product, the calories goes up by 0.51 grams