The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is 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 independent variable (x3x3) is the age of the house.

Effects on Selling Price of House

Square Feet	Number of Bedrooms	Age	Selling Price
1679	3	8	129300
2417	3	6	302100
1851	4	8	247300
1669	3	3	200500
2702	3	4	256100
2062	3	7	113100
1838	4	12	294400
2395	4	1	154300
2429	2	2	163400

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Step 1 of 2:

Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.

Step 2 of 2:

Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.010.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant.

Answer rating: 100% (QA)

Find the pvalue for the regression equation that fits the given data Round your answer to four decim... View the full answer