What is the regression model and equation

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Reference no: EM132108820

Car Weight (in lbs) Car MPG

3250 28

3675 23

3840 19

3935 20

2140 43

4010 22

2565 34

3450 22

2900 28

3345 25

3545 24

3050 31

2540 34

2410 36

2865 30

3810 22

The values in Column A show the weight in pounds of 16 different cars made in 2017. The numbers in Column B are the corresponding gas mileage for each of the cars. Produce a graph with the regression model and R-squared value for this data set. Then answer the following questions.

a. What is the regression model/equation?

b. What is the associated R-squared value?

c. What does the graph tell us about the general relationship between these two variables?

d. A close friend of yours knows that you have just finished your second stats class in that awesome business program at UIW. She is planning to purchase a relatively new (2017) car but is concerned about getting good gas mileage. During the discussion, she tells you the car is a bit heavy at 4,453 pounds. Using this regression equation, tell your friend what her expected gas mileage will be.

e. Your friend winces when you give her the answer from Part D. Then she asks "Are you sure?? That MPG sounds so low!" What is your response?

Reference no: EM132108820

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