9. Here are several scatterplots. The calculated correlations are 0.437, 0.006, 0.777, and 0.977. Which is which? Match each scatterplcrt with its calculated correlation. (a) (b) (C) (d) 10. Analysis ot the relationship between the fuel economy (mpg) and engine size (in liters) for 35 models of cars produces the regression model m' = 36.24 - 3.814 - Engine size. Explain what the slope means. Choose the correct answer below. The slope represents the decrease in 1 liter of engine size per increase of 36.24 in mpg. . The slope represents the increase in mpg per 1 liter increase in engine size. . The slope represents the decrease in mpg per 1 liter increase in engine size. . The slope represents the decrease in engine size per 1 mpg increase. 11. A regression model examining the amount of weight a football player can bench press found that 10 cm differences in chest size are associated with 8 kg differences in weight pressed. Which is true? |. The correlation between chest size and weight pressed is r= 0.30. II. As a player gets stronger and presses more weight his chest will get bigger. III. A positive residual means that the player pressed more than predicted. O A. lonly O a. land "I O C. land" 0 D. "I only 0 E. None of the above 12. Analysis of the relationship between the fuel economy (mpg) and engine size (liters) for 35 models of cars produces the regression model ng = 36.46 3.369 - Engine size. If a car has a 4 liter engine, what does this model suggest the gas mileage would be? The model predicts the car would get mpg. (Round to one decimal place as needed.)