Is there a way to calculate the second part of this problem using excel? ### Annual Revenue and Franchise Value DataThe table below compares the annual revenue and franchise value of various entities, measured 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 |This data illustrates the relationship between the annual revenue generated and the overall value of the franchise, providing insights into financial performance and valuation. **Title: Relationship Between Franchise Value and Annual Revenue of Major Sport Teams**The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table provides the value and the annual revenue for 15 major sports teams. We aim to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below.### a. Construct a Scatter Plot**Task:** Choose the correct graph that represents the relationship between franchise value and annual revenue.**Options:**- **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 trend. - **Graph B:** This is the correct graph. It plots Franchise Value ($M) on the y-axis against Annual Revenue ($M) on the x-axis. The data points show a positive linear trend, indicating that as annual revenue increases, franchise value tends to increase. - **Graph C:** Plots Annual Revenue ($M) on the y-axis against Franchise Value ($M) on the x-axis. The data points show a positive linear trend, similar to Graph B, but in reverse orientation. - **Graph D:** Plots Franchise Value ($M) on the y-axis against Annual Revenue ($M) on the x-axis. The data points appear scattered without a clear trend.### b. Determine the Regression Coefficients**Task:** Use the least-squares method to determine the regression coefficients $ b_0 $ and $ b_1 $.- **$ b_0 $ =** [Enter value rounded to two decimal places] - **$ b_1 $ =** [Enter value rounded to two decimal places]These coefficients will help in forming the linear equation to predict the franchise value based on annual revenue.**Note:** Click on the provided data table icon to view the actual data values and use them for calculations.

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Description: Is there a way to calculate the second part of this problem using excel? ### Annual Revenue and Franchise Value DataThe table below compares the annual revenue and franchise value of various entities, measured in millions of dollars.| Annual Revenue

In this case the variable Franchise value is the dependent variable and the Annual revenue is the…

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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 value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below. Click the icon to view the table of franchise values and annual revenues. a. Construct a scatter plot. Choose the correct graph below. A. В. D. 300- 류 900어 300어 900- 0- 0+ 0+ 0- 900 300 900 300 Franchise Value ($M) Annual Revenue ($M) Franchise Value ($M) Annual Revenue ($M) b. Use the least-squares method to determine the regression coefficients bo and b1. bo = U b1 %3D (Round to two decimal places as needed.)

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 value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below. Click the icon to view the table of franchise values and annual revenues. a. Construct a scatter plot. Choose the correct graph below. A. В. D. 300- 류 900어 300어 900- 0- 0+ 0+ 0- 900 300 900 300 Franchise Value ($M) Annual Revenue ($M) Franchise Value ($M) Annual Revenue ($M) b. Use the least-squares method to determine the regression coefficients bo and b1. bo = U b1 %3D (Round to two decimal places as needed.)

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Is there a way to calculate the second part of this problem using excel?

### Annual Revenue and Franchise Value Data

The table below compares the annual revenue and franchise value of various entities, measured 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 |

This data illustrates the relationship between the annual revenue generated and the overall value of the franchise, providing insights into financial performance and valuation.

**Title: Relationship Between Franchise Value and Annual Revenue of Major Sport Teams**

The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table provides the value and the annual revenue for 15 major sports teams. We aim to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below.

### a. Construct a Scatter Plot

**Task:** Choose the correct graph that represents the relationship between franchise value and annual revenue.

**Options:**

- **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 trend.

- **Graph B:** This is the correct graph. It plots Franchise Value ($M) on the y-axis against Annual Revenue ($M) on the x-axis. The data points show a positive linear trend, indicating that as annual revenue increases, franchise value tends to increase.

- **Graph C:** Plots Annual Revenue ($M) on the y-axis against Franchise Value ($M) on the x-axis. The data points show a positive linear trend, similar to Graph B, but in reverse orientation.

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

### b. Determine the Regression Coefficients

**Task:** Use the least-squares method to determine the regression coefficients $ b_0 $ and $ b_1 $.

- **$ b_0 $ =** [Enter value rounded to two decimal places]

- **$ b_1 $ =** [Enter value rounded to two decimal places]

These coefficients will help in forming the linear equation to predict the franchise value based on annual revenue.

**Note:** Click on the provided data table icon to view the actual data values and use them for calculations.

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