Glycemic load is a number that describes the quantity and quality of carbohydrates in food. For example, a muffin or a piece of cake will have a very high glycemic load number because each contains lots of carbohydrates of the type that will quickly raise someone’s blood sugar level. Are these types of foods also addictive? Researchers from Michigan (Schulte et al., 2015) asked 398 participants to rate how likely they were to experience addictive-like eating behaviors with 35 foods on a 7-point scale (1 = not problematic at all, 7 = extremely problematic). Averages from these ratings along with the glycemic load for these foods are in the file AddictiveFoods. Put the data file into the Corr/Regression applet to answer (a)–(e). (Make sure you have the glycemic load—GL—as the explanatory variable.)

a. Find the least squares regression equation for these data. 

b. What does the slope of the regression equation mean in context? 

c. Do foods that have positive residuals have actual mean addictive ratings that are more or less than their predicted addictive rating? 

d. A cookie has the biggest positive residual. What is the glycemic index and mean addictive rating for a cookie? 

e. Brown rice has the biggest negative residual. What is the glycemic index and mean addictive rating for brown rice?