Burgers In the last chapter, you examined the association between the amounts of Fat and Calories in fast-food hamburgers. Here are the data: Fat (g) 19 31 34 35 39 39 43 Calories 410 580 590 570 640 680 660 a) Create a scatterplot of Calories vs. Fat. b) Interpret the value of R2 in this context. c) Write the equation of the line of regression. d) Use the residuals plot to explain whether your linear model is appropriate. e) Explain the meaning of the y-intercept of the line. f) Explain the meaning of the slope of the line. g) A new burger containing 28 grams of fat is introduced. According to this model, its residual for calories is +33. How many calories does the burger have?

STAT 2004 WEEK 14 REVIEW: T-test Use a T-test when sigma is unknown. Use cutoffs to test, not p-values. HYPOTHESIS TESTING RATIONALE Make an assumption. Is what you observed likely or unlikely Compare what you observe to what you expect. CHI-SQUARE TEST How different is what we observed from what we expected 2 For each category, calculate (observed−expected) . Add these values expected together for the chi-square value. The degrees of freedom for a chi-square value is the number of categories minus 1. o Look up the actual chi-square value on the table. o Is the ch