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 th house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (X3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 1078 1 113000 1103 3 1 130500 1562 3 144800 1562 4 4. 150600 1795 4 7 206100 2507 211500

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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 (x1) is the square footage, the second independent variable (x2) is the
number of bedrooms, and the third independent variable (x3) is the age of the house.
Effects on Selling Price of Houses
Square Feet
Number of Bedrooms
Age
Selling Price
1078
1
113000
1103
1
130500
1562
3
4
144800
1562
4
4
150600
1795
206100
2507
8
211500
2803
9
262000
3061
12
277700
3074
12
297900
Copy Data
Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
Transcribed Image Text: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 (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 1078 1 113000 1103 1 130500 1562 3 4 144800 1562 4 4 150600 1795 206100 2507 8 211500 2803 9 262000 3061 12 277700 3074 12 297900 Copy Data Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
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