Save Let x be a random variable representing the average daily calorie intake of an individual. Let y be a random variable representing the weight of the same individual. The following table represents the average daily calorie intakes and weights of 9 random individuals. Calorie Intake (x) 1800 2000 2100 2200 1600 2000 2500 1600 2300 Weight in pounds (y) 112 130 147 140 102 125 187 98 177 (a) The correlation coefficient is r = (round to the nearest 4 decimals) (b) What type of linear correlation is there between calorie intake and weight: strong positive, moderate positive, weak positive, strong negative, moderate negative, or weak negative? There is a (c) The regression line equation is y = the nearest 4 decimal places) correlation between calorie intake and weight. (round to (d) Create a scatter plot and draw the regression line for the data. You can upload the picture as part of your scratch work in the scratch work section. Your picture can either be a screenshot or it can be a hand drawn sketch. (e) The predicted weight of an individual who consumes an average of 2400 calories a day is pounds (round to the nearest whole number).