In: Statistics and Probability
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.
Square Feet | Number of Bedrooms | Age | Selling Price |
---|---|---|---|
2943 | 5 | 14 | 308900 |
2423 | 4 | 14 | 305300 |
2379 | 4 | 14 | 283000 |
2260 | 4 | 13 | 228700 |
1618 | 4 | 12 | 147900 |
1405 | 3 | 9 | 114700 |
1332 | 2 | 6 | 108700 |
1194 | 2 | 4 | 108200 |
1120 | 2 | 3 | 105800 |
Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
We can perform the regression analysis using excel function Regression.
Go to Data menu --- > data analysis --- > Regression.
Then plug the inputs as shown below.
For Y input select the column entries for column Y ( with heading )
For x input select the column entries for columns x1,x2,x3 ( with headings )
Check the box for Labels ( If you have not selected column headings then don’t check)
Click on Ok.
The analysis output will be appeared as follows.
The p-value for the regression equation that fits the given data is 0.0007