Write the equation of the line of regression

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A second helping of burgers. In Exercise 49 you created a model that can estimate the number of Calories in a burger when the Fat content is known.

a) Explain why you cannot use that model to estimate the fat content of a burger with 600 calories.

b) Using an appropriate model, estimate the fat content of a burger with 600 calories.

Exercise :
Burgers. 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?

Reference no: EM131401088

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