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 Age Selling Price 3065 3 13 176200 2290 5 13 196700 1070 4 10 132400 2831 3 11 211900 2070 4 14 245900 2542 4 10 180700 2546 3 6 306100 1758 4 10 235100 2477 3 12 116100 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Copy Data Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 3065 3 13 170200 2290 5 13 196700 1070 4 10 132400 2831 3 11 211900 2070 4 14 245900 2542 4 10 180700 2546 3 6 306100 1758 4 10 235100 2477 3 12 116100 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 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. AnswerHow to enter your answer (opens in new window) 25 Points) Keypad Keyboard Shortcuts Selecting a checkbox will replace the entered answer value(s) with the checkbox value. If the checkbox is not selected, the entered answer is used. = x1+ x There is not enough evidence.