paraphraseFor this random sample, the regression equation is y = 104.71*(sq ft) + 79854, with a slopeb=104.71b=79854 and an intercept. Therefore, the slope estimate is 10 that the fitted median listing price changes by $104.71 for every unit increase in median square feet, and the intercept estimate provides the median listing price when the house's square footage is zero, which makes sense because it predicts the price of only the land when the house's square footage is zero. The regression equation shows that the estimated value of just the land is $79,274 when looking at a house with 2,000 square feet, i.e., y=104.712,000+79854=$289,274