The following data was collected to explore how the number ofsquare feet in a house, the number of bedrooms, and the age of thehouse affect the selling price of the house. The dependent variableis the selling price of the house, the first independent variable(x1x1) is the square footage, the second independent variable(x2x2) is the number of bedrooms, and the third independentvariable (x3x3) is the age of the house.
Effects on Selling Price of Houses| Square Feet | Number of Bedrooms | Age | Selling Price |
|---|
| 2032 | 4 | 9 | 262300 |
| 1101 | 3 | 8 | 182200 |
| 1526 | 5 | 9 | 176700 |
| 1612 | 3 | 15 | 265500 |
| 2607 | 2 | 2 | 257100 |
| 2077 | 3 | 10 | 255000 |
| 1277 | 3 | 13 | 275600 |
| 2048 | 3 | 10 | 156800 |
| 2339 | 3 | 9 | 290200 |
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Find the p-value for the regression equation that fits the givendata. Round your answer to four decimal places.
If the relationship is statistically significant, indicate themultiple regression equation that best fits the data, rounded to 3decimal places.
