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Movie Grosses. The data from Exercise14.36 on domestic and overseas grosses for a random sample of 50 movies are on the WeissStats site.

Short Answer

Expert verified

(a) The model does not work well with the data. Furthermore, the residuals do not follow a normal distribution.

Step by step solution

01

Part (a) Step 1: Given information

Given in the question that, Movie Grosses. The data from Exercise 14.36 on domestic and overseas grosses for a random sample of 50 movies are on the WeissStats site. We need to decide that whether we can reasonably apply the regression t-lest. If so, then also do part (b).

02

Part (a) Step 2: Explanation

DOMESTICOVERSEAS
2
1.7
49
28.1

4.2
2.3
70
11.3

1.5
6
16
13.6

36.9
20.8
125
71.1

51.8
80.8
64.6
62.1

79.7
165.8
56
51.1

41.2
43.2
9
25.5

12.5
21.6
25.9
8.7

408
283.2
162.8
262.6

1.8
7.7
73.1
211.1

12.8
56.1
2.1
17.4

216.4
530.5
31.1
92

6
3.1
182.1
93.1

1.6
3.7
83.7
221.6

18.6
27.6
54.3
73.4

448.1
636.3
17.7
15.6

13.4
22.4
93.8
68

45.5
22.8
31.6
7.9

19.2
126.4
148.8
293

262
490.2
218.8
330.6

65.4
237.6
18.5
3.6

35.3
46.2
1
3.1

25.3
7.4
5.7
4

27.1
103.4
126.5
276,9

41.1
31
44.3
10.5



MINITAB is used to create the residual plot.

Procedure with Minitab:

Step 1: Select Start >Regression> Regression

Step 2: In the Response box, type OVERSEAS.

Step 3: In Predictors, select the DOMESTIC Column.

Step 4: In Graphs, under Residuals vs the variables, insert the columns DOMESTIC

Step 5: Click the OK button.

OUTPUT FROM MINITAB:

MINITAB is used to create a normal probability plot of residuals.

03

Part (a) Step 3: MINITAB output

OUTPUT FROM MINITAB:

The following is the assumption for regression inferences:

Line of population regression:

For each value Xof the predictor variable, the conditional mean of the response variable (Y)is β0+β1X.

Standard deviation equal:

The response variable's (Y)standard deviation is the same as the explanatory variable's (X)standard deviation. The standard deviation is represented by the symbol σ.

Populations that are typical:

The response variable follows a normal distribution.

Observations made independently:

The response variable observations are unrelated to one another.

Examine whether the regression t-test is appropriate.

  • The residual plot clearly shows that the residuals fall into a funnel form.
  • It is obvious from the residuals normal probability plot that the residuals are in the mild linear range.

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Most popular questions from this chapter

In Exercises 14.12-14.21, we repeat the data and provide the sample regression equations for Exercises 4.48 -4.57.

a. Determine the standard error of the estimate.

b. Construct a residual plot.

c. Construct a normal probability plot of the residuals.

y=1.75+0.25x

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether you can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b)-(h).
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95% Te confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a95% prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence interval that you obtained in part (c) and the prediction interval that you obtained in part (e).
14.100 Movie Grosses. The data from Exercise 14.36 on domestic and overseas grosses for a random sample of 50 movies are on the WeissStats site. Specified value of the predictor variable: S 100 million.

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether you can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b)-(f)
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95%confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95% prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence inter. val that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.99 U.S. Presidents. The data from Exercise 14.35 for the ages at inauguration and of death of the presidents of the United States are on the WeissStats site. Specified value of the predictor variable: 53 years.

Gas Guzzelrs. Use the data on the WeissStats site for gas mileage and engine displacement for 121vehicles referred to in Exercise 14.41

a. Decide whether you can reasonably apply the regression t-test. If so, then also do part (b).

b. Decide, at the 5%significance level, whether the data provide sufficient evidence to conclude that the predictor variable is useful for predicting the response variable.

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