Looking at the scatterplot, you will see that there are two unusual data points (Avatar and Titanic), Remove the data for these two unusual values by highlighting each x-value and each y-value that you want to delete. Once you highlight a value, press the DEL key to eliminate it. Recalculate the linear model and R-square value. Redo the scatter plot. How does removing the unusual values affect the model? Oa. Since the new R2 is close to 11%, eliminating the outliers improved linear model, b. Once the two unusual data values have been removed, you can conclude that Domestic Gross Revenue is not a good predictor of Worldwide Gross Revenue. O C. The new R2 is 0.11. But, since the slope is now close to 1.0, you can conclude that Domestic Gross Revenue is a good predictor of Worldwide Gross Revenue. d. With the unusual data points removed, the scatter of the data shows a strong positive linear relationship between Domestic Gross Revenue and Worldwide Gross Revenue O e. The small change in R, the positive slope and the large y-intercept show that Domestic Gross Revenue is still a good predictor of Worldwide Gross Revenue.

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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Q11 Thank you so much
QUESTION 8
Information for Questions 8- 11: The Internet Movie Database monitors the gross revenues for all maior motion pictures. The accompanying table gives both the U.S. and Worldwide gross revenues for a random sample
selected from among the films that were the highest grossing films in the U.S.
Movie Title
Domestic Gros
Worldwide Gross
(millions of dollars)
(millions of dollars)
Avatar
760
2783
Titanic
600
1835
Star Wars: Episode I
431
922
Spider-Man
403
Transformers: Revenge of the Fallen
402
836
Star Wars: Episode III
380
848
The Passion of the Christ
370
604
The Lord of the Rings: The Two Towers
340
921
Finding Nemo
339
865
Spider-Man 3
336
885
329
679
Forrest Gump
318
571
Iron Man
783
Indiana Jones and the Kingdom of the
Crystal Skull
317
958
Pirates of the Caribbean: At the
World's End
309
934
302
Harry Potter and the Half Blood Prince
179
Men in Black 3
interested in seeing I could use the U.S. gross to predict the gross to that here in the U.S. have a appeal.
Transcribed Image Text:QUESTION 8 Information for Questions 8- 11: The Internet Movie Database monitors the gross revenues for all maior motion pictures. The accompanying table gives both the U.S. and Worldwide gross revenues for a random sample selected from among the films that were the highest grossing films in the U.S. Movie Title Domestic Gros Worldwide Gross (millions of dollars) (millions of dollars) Avatar 760 2783 Titanic 600 1835 Star Wars: Episode I 431 922 Spider-Man 403 Transformers: Revenge of the Fallen 402 836 Star Wars: Episode III 380 848 The Passion of the Christ 370 604 The Lord of the Rings: The Two Towers 340 921 Finding Nemo 339 865 Spider-Man 3 336 885 329 679 Forrest Gump 318 571 Iron Man 783 Indiana Jones and the Kingdom of the Crystal Skull 317 958 Pirates of the Caribbean: At the World's End 309 934 302 Harry Potter and the Half Blood Prince 179 Men in Black 3 interested in seeing I could use the U.S. gross to predict the gross to that here in the U.S. have a appeal.
the predicted y-value and residual for Spider-Man 3.
O a. y-hat = 886.624, Residual = -36.12
O b. y-hat = 652.45, Residual = -207.5
y-hat = 1046,
Residual = -165.1
O d. y-hat = 814.33, Residual = 70.674
O e. y-hat = 1030.52, Residual = -108.2
QUESTION 11
Looking at the scatterplot, you will see that there are two unusual data points (Avatar and Titanic), Remove the data for these two unusual values by highlighting each x-value and each y-value that you want to delete. Once
you highlight a value, press the DEL key to eliminate it. Recalculate the linear model and R-square value, Redo the scatter plot. How does removing the unusual values affect the model?
O a.
Since the new R2 is close to 11%, eliminating the outliers improved the linear model.
Ob.
Once the two unusual data values have been removed, you can conclude that Domestic Gross Revenue is not a good predictor of Worldwide Gross Revenue.
O C. The new R2 is 0.11. But, since the slope is now close to 1.0, you can conclude that Domestic Gross Revenue is a good predictor of Worldwide Gross Revenue.
d.
With the unusual data points removed, the scatter of the data shows a strong positive linear relationship between Domestic Gross Revenue and Worldwide Gross Revenue.
Oe.
The small change in R2, the positive slope and the large y-intercept show that Domestic Gross Revenue is still a good predictor of Worldwide Gross Revenue
Suppose a satellite defense system is established in which three satellites acting independently each have a 0.90 probabity of detecting an incoming ballistic missile. What is the probability that at least one of the three
satellites detects an incoming ballistic missile? Hint: You may want to model this with a tree diagram.
QUESTION 12
Click Save and Submit to save and submit. Click Save All Answers to save all answers.
Transcribed Image Text:the predicted y-value and residual for Spider-Man 3. O a. y-hat = 886.624, Residual = -36.12 O b. y-hat = 652.45, Residual = -207.5 y-hat = 1046, Residual = -165.1 O d. y-hat = 814.33, Residual = 70.674 O e. y-hat = 1030.52, Residual = -108.2 QUESTION 11 Looking at the scatterplot, you will see that there are two unusual data points (Avatar and Titanic), Remove the data for these two unusual values by highlighting each x-value and each y-value that you want to delete. Once you highlight a value, press the DEL key to eliminate it. Recalculate the linear model and R-square value, Redo the scatter plot. How does removing the unusual values affect the model? O a. Since the new R2 is close to 11%, eliminating the outliers improved the linear model. Ob. Once the two unusual data values have been removed, you can conclude that Domestic Gross Revenue is not a good predictor of Worldwide Gross Revenue. O C. The new R2 is 0.11. But, since the slope is now close to 1.0, you can conclude that Domestic Gross Revenue is a good predictor of Worldwide Gross Revenue. d. With the unusual data points removed, the scatter of the data shows a strong positive linear relationship between Domestic Gross Revenue and Worldwide Gross Revenue. Oe. The small change in R2, the positive slope and the large y-intercept show that Domestic Gross Revenue is still a good predictor of Worldwide Gross Revenue Suppose a satellite defense system is established in which three satellites acting independently each have a 0.90 probabity of detecting an incoming ballistic missile. What is the probability that at least one of the three satellites detects an incoming ballistic missile? Hint: You may want to model this with a tree diagram. QUESTION 12 Click Save and Submit to save and submit. Click Save All Answers to save all answers.
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