Using these group means for log10_price, return "good" predicted house prices in the original units of US dollars. house_prices %>% group_by(waterfront) %>% summarize(mean_log10_price = mean(log10_price), n = n()) # Prediction of price for houses with view 10^(___) # Prediction of price for houses without view 10^(___) You just saw that houses with a view of the waterfront tend to be much more expensive. But by how much? Let's compute group means of log10_price, convert them back to dollar units, and compare! The variable log10_price has already been added to house_prices for you. Instructions 2/2 50 XP 2 Using these group means for log10_price, return "good" predicted house prices in the original units of US dollars