Question

In: Statistics and Probability

Do movies of different types have different rates of return on their budgets? The response variable:...

Do movies of different types have different rates of return on their budgets?

The response variable: US Gross( $M)

Explanatory variable:   Budget ( $M)

Categorical variable :  Type of movie : Comedy =1 ; Action Picture =0.

Using the regression output with an indicator variable:

MODEL 1:

Summary of Fit

RSquare

0.318

RSquare Adj

0.338

Root Mean Square Error

46.50

Mean of Response

Number of observations

58

Parameter Estimates

Term

Estimate

Std Error

t Ratio

Prob>|t|

Intercept

-7.03913

16.20

-0.435

0.6655*

Budget( $M)

1.0048

0.1895

5.30

<.0001*

Comedy

25.4175

10.62

2.397

<.00204*

Model 2:

Summary of Fit

RSquare

0.41

RSquare Adj

0.374

Root Mean Square Error

58.45

Mean of Response

Number of observations

58

Parameter Estimates

Term

Estimate

Std Error

t Ratio

Prob>|t|

Intercept

-13.28

29.20

-0.455

0.6512*

Budget( $M)

1.589

0.3457

4.60

<.0001*

Budget*Comedy

-0.652

0.4863

-1.34

<.1857

Comedy

34.479

33.85

1.02

0.3134

  1. (Model 1) Write out the sample regression  equation and write separate equations for each type of movies.
  2. (Model 1) In this regression, the variable Comedy is an indicator variable that is 1 for movies that are comedies. How would you interpret the coefficients  of Comedy  and Budget($M)?
  3. (Model 1) What null Hypothesis can we test with the t-test  for Comedy? State conclusion.
  4. (Model 2) Write out the sample regression equation and write separate equations for each type of movies.:
  5. (Model 2) In this regression, the variable Budget*Comedy is an interaction term. How would you interpret the coefficient of Budget*Comedy?
  6. (Model2) What Null Hypothesis can we test with the t-test for Budget*Comedy? State conclusion
  7. Which model will you choose (Model1 or  Model2)?  Make decision either based on R2adj, or an F-partial test , or the t-test from part f)

Solutions

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