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 (x) 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 AgeSelling Price 2641 1929 2707 1559 2264 1626 1341 1722 2070 180200 258700 7200 300600 134600 280400 235000 103800 309900 13 4 14 4 13
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.