The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the valu revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue Complete parts (a) through (e) below. E Click the icon to view the table of franchise values and annual revenues. a. Construct a scatter plot. Choose the correct graph below. O A. OB. Oc. OD. E 3004 900- * 300- A 9004 al Revenue Chise Value (SM) al Revenue ($M) O chise Value ($M)

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### Annual Revenue and Franchise Value Data

This table presents a comparison between the annual revenue and franchise value for various entities, with both financial figures expressed in millions of dollars.

| Annual Revenue (millions of dollars) | Franchise Value (millions of dollars) |
|--------------------------------------|---------------------------------------|
| 244                                  | 742                                   |
| 201                                  | 542                                   |
| 262                                  | 849                                   |
| 197                                  | 511                                   |
| 277                                  | 823                                   |
| 218                                  | 473                                   |
| 179                                  | 346                                   |
| 224                                  | 637                                   |
| 229                                  | 601                                   |
| 202                                  | 474                                   |
| 196                                  | 452                                   |
| 187                                  | 375                                   |
| 166                                  | 371                                   |
| 226                                  | 593                                   |
| 235                                  | 730                                   |

#### Analysis:

- The highest annual revenue recorded in the dataset is 277 million dollars, corresponding to a franchise value of 823 million dollars.
- The lowest annual revenue is 166 million dollars, paired with a franchise value of 371 million dollars.
- The highest franchise value is 849 million dollars, associated with an annual revenue of 262 million dollars.
- A general observation suggests a positive correlation between annual revenue and franchise value, although variations exist.
Transcribed Image Text:### Annual Revenue and Franchise Value Data This table presents a comparison between the annual revenue and franchise value for various entities, with both financial figures expressed in millions of dollars. | Annual Revenue (millions of dollars) | Franchise Value (millions of dollars) | |--------------------------------------|---------------------------------------| | 244 | 742 | | 201 | 542 | | 262 | 849 | | 197 | 511 | | 277 | 823 | | 218 | 473 | | 179 | 346 | | 224 | 637 | | 229 | 601 | | 202 | 474 | | 196 | 452 | | 187 | 375 | | 166 | 371 | | 226 | 593 | | 235 | 730 | #### Analysis: - The highest annual revenue recorded in the dataset is 277 million dollars, corresponding to a franchise value of 823 million dollars. - The lowest annual revenue is 166 million dollars, paired with a franchise value of 371 million dollars. - The highest franchise value is 849 million dollars, associated with an annual revenue of 262 million dollars. - A general observation suggests a positive correlation between annual revenue and franchise value, although variations exist.
The text discusses the relationship between the value of a sports franchise and its annual revenue, focusing on 15 major sports teams. The goal is to develop a linear regression model to predict the franchise value from annual revenue. It mentions a data table containing these values and instructs the user to complete parts (a) through (e) to understand this relationship.

The task at hand is to construct a scatter plot and choose the correct graph from four options provided (A, B, C, D).

**Description of Graphs:**

- **Graph A**: Plots Annual Revenue ($M) on the y-axis against Franchise Value ($M) on the x-axis. The data points appear scattered without a clear linear trend.

- **Graph B**: Plots Franchise Value ($M) on the y-axis against Annual Revenue ($M) on the x-axis. The data points appear to follow a positive linear trend.

- **Graph C**: Similar to Graph A, with Annual Revenue ($M) on the y-axis and Franchise Value ($M) on the x-axis, displaying a scattered pattern of data points.

- **Graph D**: Similar to Graph B, with Franchise Value ($M) on the y-axis and Annual Revenue ($M) on the x-axis, but with a more dispersed set of data points compared to Graph B.

The task is to select the graph that correctly represents the relationship for constructing a linear regression model.
Transcribed Image Text:The text discusses the relationship between the value of a sports franchise and its annual revenue, focusing on 15 major sports teams. The goal is to develop a linear regression model to predict the franchise value from annual revenue. It mentions a data table containing these values and instructs the user to complete parts (a) through (e) to understand this relationship. The task at hand is to construct a scatter plot and choose the correct graph from four options provided (A, B, C, D). **Description of Graphs:** - **Graph A**: Plots Annual Revenue ($M) on the y-axis against Franchise Value ($M) on the x-axis. The data points appear scattered without a clear linear trend. - **Graph B**: Plots Franchise Value ($M) on the y-axis against Annual Revenue ($M) on the x-axis. The data points appear to follow a positive linear trend. - **Graph C**: Similar to Graph A, with Annual Revenue ($M) on the y-axis and Franchise Value ($M) on the x-axis, displaying a scattered pattern of data points. - **Graph D**: Similar to Graph B, with Franchise Value ($M) on the y-axis and Annual Revenue ($M) on the x-axis, but with a more dispersed set of data points compared to Graph B. The task is to select the graph that correctly represents the relationship for constructing a linear regression model.
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