standard deviation at the bottom of the table. Sandwich Fat Calories + -x (Restaurant) Content grams) . Hardee's Big 23 540 Cheeseburger Burger King 13 280 Cheeseburger Wendy's Jr. 14 290 Cheeseburger Mcdonalds 27 520 Quarter Pounder with Cheeese Wendy's 37 590 Dave's Single White Castle- 44 770 Beyond Famous Star with Cheese Jack In the Box 40 GO -Jumbo Jack Cheeseburger Mean: 28.3 Mean: Standard 512.9 Deviation: Standard 12.4 Deviation 175.3 Finish the calculation of the linear correlation coefficient by using the formula below: n- 1 4. Based on the number observations and the value or r in step 3, test If there is a linear relationship using table Il In Appendix A (See steps on page 192 on "testing for Linear Relations Value from Appendix A: Does a linear relation exist? Yes or No 5:Computer the least squares regression line using the equation below The Least-Squares Regression List The equation of the least-squires regression line is given by by m pace is the slope of the be - y - bid la the s intercept of the least- Note: 2 is the sample moon and f, is the edward deviation of the captain in the sample mon and 5 is the sample was Show all supporting work below, round to 2 decimals, and write your least square regression line equation here. S. Interpret the slope of your regression line. You must use the words fat and calories (not x and y) 7. Using the regression line equation that you found, predict the calories in a cheeseburger that has 27 grams of fat. 8. Compare your prediction that you just made with calories from the Mcdonald's quarter pounder with cheese (note this). What is the residual