As of September 4, 2016, the film Suicide Squad had an average rating of 3.7 out of 5 based on 117,323 viewer ratings. How are the viewer ratings of Suicide Squad related to the viewer age and the viewer ratings of The Secret Life of Pets? The file RottenTomatoes contains a sample of data containing viewer ages and their ratings of Suicide Squad and The Secret Life of Pets.

(a)

Develop a scatter diagram for these data with the users' ages as the independent variable and their ratings of Suicide Squad as the dependent variable.

A scatter diagram has a horizontal axis labeled "Age" with values from 0 to 80 and a vertical axis labeled "User Rating or Suicide Squad" with values from 0 to 5. The scatter diagram has 100 points. A pattern goes up and right becoming less steep from (15, 1) to (72, 5). The points are scattered moderately from the pattern.

A scatter diagram has a horizontal axis labeled "Age" with values from 0 to 80 and a vertical axis labeled "User Rating or Suicide Squad" with values from 0 to 5. The scatter diagram has 100 points. A pattern goes up and right becoming more steep from (15, 1) to (72, 5). The points are scattered moderately from the pattern.

A scatter diagram has a horizontal axis labeled "Age" with values from 0 to 80 and a vertical axis labeled "User Rating or Suicide Squad" with values from 0 to 5. The scatter diagram has 100 points. A pattern goes down and right becoming more steep from (15, 5) to (72, 1). The points are scattered moderately from the pattern.

A scatter diagram has a horizontal axis labeled "Age" with values from 0 to 80 and a vertical axis labeled "User Rating or Suicide Squad" with values from 0 to 5. The scatter diagram has 100 points. A pattern goes down and right becoming less steep from (15, 5) to (72, 1). The points are scattered moderately from the pattern.

Does a simple linear regression model appear to be appropriate?

Yes, there appears to be a linear relationship between the two variables.No, there appears to be a curvilinear relationship between the two variables. No, there doesn't appear to be a relationship between the two variables.

(b)

Use the data provided to develop the regression equation for estimating the user ratings of Suicide Squad that is suggested by the scatter diagram in part (a). Use x₁ for age. (Round your numerical values to four decimal places.)

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(c)

Include the user rating of The Secret Life of Pets as an independent variable in the regression model developed in part (b). Use x₂ for user rating of The Secret Life of Pets. (Round your numerical values to four decimal places.)

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Interpret the regression coefficient for the user rating of The Secret Life of Pets.

Holding the user's age constant, a one-point increase in the user's rating of The Secret Life of Pets coincides with an estimated -point ---Select--- increase decrease in the user's rating of Suicide Squad.

(d)

Is the regression equation developed in part (b) or the regression equation developed in part (c) superior? Explain.

The regression equation developed in part (b) is superior because it explains almost as much of the variation in the user's ratings of Suicide Squad and is simpler than the regression equation developed in part (c).The regression equation developed in part (b) is superior because it explains more of the variation in the user's ratings of Suicide Squad and is simpler than the regression equation developed in part (c). The regression equation developed in part (c) is superior because it explains almost as much of the variation in the user's ratings of Suicide Squad and is simpler than the regression equation developed in part (b).The regression equation developed in part (c) is superior because it explains far less of the variation in the user's ratings of Suicide Squad and is simpler than the regression equation developed in part (b).

(e)

Suppose a 31-year-old user gave The Secret Life of Pets a rating of 4. Use the superior model from part (d) to predict that user's ratings of Suicide Squad.

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