Use the Regression tool on the accompanying wedding data, using the wedding cost as the dependent variable and attendance as the independent variable. Complete parts a through c.

| Wedding Cost | Attendance |
|--------------|------------|
| 58700 | 300 |
| 50000 | 350 |
| 47000 | 150 |
| 44000 | 200 |
| 35000 | 250 |
| 31500 | 150 |
| 31000 | 250 |
| 29000 | 300 |
| 28000 | 250 |
| 27000 | 200 |
| 27000 | 150 |
| 24000 | 200 |
| 22000 | 200 |
| 22000 | 200 |
| 21000 | 200 |
| 20000 | 200 |
| 19000 | 100 |
| 19000 | 150 |
| 18000 | 200 |
| 17000 | 150 |
| 15000 | 100 |
| 15000 | 100 |
| 14000 | 150 |
| 6000 | 50 |
| 4000 | 50 |

What is the regression model?

Wedding Cost = _ + _ × Attendance

(Round to three decimal places as needed.)

The regression model for the wedding data, using cost as the dependent variable and attendance as the independent variable, is Wedding Cost = 29576.923 + 44.615×Attendance.

Explanation:

In order to find the regression model, we need to use the regression tool and input the data for the wedding cost and attendance. After performing the regression analysis, we will obtain the equation for the regression line. The regression model will be in the form of Wedding Cost = a + b× Attendance, where a and b are the coefficients obtained from the analysis. In this case, the regression model would be Wedding Cost = 29576.923 + 44.615×Attendance (rounded to three decimal places).