Statistics Question.

Suppose a researcher wants to examine the association between the amounts of Fat and Calories in fast-food hamburgers. The data are given below. Complete parts a through 9. Fat (9) 20 31 35 34 4o 36 42 91 Calories 420 600 610 530 620 670 680 V. a) Create a scatterplot of Calories vs. Fat. Choose the correct graph below. Fat (g) Calories Pet is) m .9 E a. 0 b) Interpret the value of R2 in this context. Select the correct choice below and ll in the answer box to complete your choice. (Round to one decimal place as needed.) OA. OB. C. OD. The value 0! R2 is Calories. The value of R2 is Fat. The value of R2 is The value of R2 is %, which is 100% minus the percentage of the variation in Fat that can be accounted for by a linear model on the amount of %, which is 100% minus the percentage of the variation in Calories that can be accounted for by a linear model on the amount of %, which is the percentage of the variation in Fat that can be accounted for by a linear model on the amount of Calories. %, which is the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat. c) Write the equation of the line of regression. _..---.___ Calories = +( ) Fat (Round to two decimal pieces as needed.)