Can someone explain how to get this answer step by step?

A real estate analyst believes that the three main factors that inuence an df SS MS F apartment's rent in a college town are the mnnber of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she _ collects data on the rent (y, in $), the number of bedrooms (x1), the number of Regressnon 3 5,694 1,393 51 bathrooms (x2), and its square footage (x3). She estimates the following model: Rent = [30 + [91 Bedroom + [92 Bath + 3Sqft + s. The following table shows a portion of the regression results. Resndual 36 L343 37 Total 39 7,037 What is conclusion can be reached regarding Joint Signicance of entire model at 5% signicance? Can reject Ho b/c F-test > F-crit, thus can df SS MS conclude joint signicance. All variables stay in the model. Regression 3 5,694 1,898 Residual 36 1,343 37 Total 39 7,037