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B. [5 pts] Suppose you're given the following model for apartment prices in NYC (in R): apt_price ~ sq_ft + type + borough, where apt_price
B. [5 pts] Suppose you're given the following model for apartment prices in NYC (in R): apt_price ~ sq_ft + type + borough, where apt_price and sq_ft (the square footage of the apartment) are continuous variables, type is a categorical variable taking the values "affordable," "regular," and "luxury," and borough is a categorical variable taking the values "Manhattan," "Brooklyn," "Bronx," "Queens," and "Staten Island." How many coefficients will the fitted model have, including the intercept
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