Realtor is interested in looking at the relationship between number of bedrooms and the selling price of the house (in dollars). She collected information from a random sample of 105 listings. Realtor was interested in developing a regression model to predict the selling price based on the number of bedrooms. Below provided to you are some of her partial outputs.

Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 137371 4767 28.82 0.000 Bedrooms 51519 1282 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 28346.4 94.00% 93.95% 93.77% Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 1.29769E+12 1.29769E+12 1615.01 0.000 Bedrooms - 1.29769E+12 1.29769E+12 1615.01 0.000 Error 103 82762620332 803520586 Lack-of-Fit 5 3293784613 658756923 0.81 0.544 Pure Error 98 79468835719 810906487 Total 104 1.38046E+12