Question 2(Multiple Choice Worth 1 points) (02.02 MC) Let \( f(p) \) be the average number of days a house stays on the market before being sold for price \( p \) in \( \$ 1,000 \mathrm{~s} \). Which statement best describes the meaning of \( f(150) \) \( f(150) \) represents the average number of days houses stay on the market before being sold for \( \$ 150,000 \). Houses sell on the market for an average of \( \$ 150,000 \) and stay on the market an average of 150 days before being sold. Houses sell for an average of \( \$ 150,000 \). \( f(150) \) indicates houses stay on the market an average of 150 days before being sold.

When we talk about \( f(150) \), we're diving into the housing market dynamics! Specifically, \( f(150) \) would represent the average number of days that houses priced at \( \$ 150,000 \) (or \( 150 \) in thousands) typically linger on the market before being snatched up. So, if you're pricing your home around that figure, this function gives you an idea of how long you might need to wait for a buyer. In real-world applications, understanding this function can significantly impact your selling strategy! If you know, for example, that \( f(150) \) is high, you might consider staging your home better, adjusting the price, or even enhancing its curb appeal—everything to help speed up the sale. On the flip side, if houses in your price range sell quickly, you may feel confident sticking to your asking price without worrying too much about long waits!