Help!!!!

Use the scenario described below to answer the following questions. A realty company in Phoenix, Arizona is interested in analyzing how the square footage (Sqft), number of bedrooms (Bedrooms), number of bathrooms (Bathrooms), and the age (Age) of the house impacts a home's sales price in dollars (Price). They collected data on homes that have recently sold using Truilia.com and Zillow.com, and used it to obtain the following estimated regression equation: Price=97,500+101.12Sqft+6,789.20Bedrooms+5,406.98Bathrooms750.01Age Goodness-of-Fit Measures: R2=0.35, Standard Error =15267, Adjusted- R2=0.34 Use the estimated regression equation and goodness-of-fit measures above to answer the following questions. Assume all the independent/explanatory variables are significant at the 5% level. Predict the sales price of house in Phoenix that is 2600 square feet, has 3 bedrooms, 2.5 bathrooms and is 10 years old. Round your answer to the nearest dollar