Consider the following model of house prices: lhprice=β0+β1bdrms+β2llotsize+β3lsqrft+u The variables are defined as: lhprice = the natural log of the house price bedrms = the number of bedrooms llotsize = the natural log of the land or lot size lsqrft = the natural log of the floor space of the house in square feet. You may assume the Gauss Markov Assumptions hold. Which of the following will make our inference on the partial effect of the number of bedrooms on the house price less precise? a) A smaller variance of any unobserved factors captured in the error term, u. b) A larger sample size. c) More variation in the number of bedrooms across the observations in the sample. d) None of the possible answers describe something that would make our inference less precise. e) A higher correlation between the number of bedrooms and the floor space of the house.

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