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A Regression Equation That Predicts the Price of Homes in Thousands

Question 7

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A regression equation that predicts the price of homes in thousands of dollars is A regression equation that predicts the price of homes in thousands of dollars is   t = 24.6 + 0.055x1 - 3.6x2, where x2 is an indicator variable that represents whether the house is on a busy street (1 = yes, 0 = no) . Based on this information, which of the following statements is true? A)  On average, homes that are on busy streets are worth $3600 less than homes that are not on busy streets. B)  On average, homes that are on busy streets are worth $3.60 less than homes that are not on busy streets. C)  On average, homes that are on busy streets are worth $3600 more than homes that are not on busy streets. D)  On average, homes that are on busy streets are worth $3.60 more than homes that are not on busy streets. E)  None of the above is correct. t = 24.6 + 0.055x1 - 3.6x2, where x2 is an indicator variable that represents whether the house is on a busy street (1 = yes, 0 = no) . Based on this information, which of the following statements is true?


A) On average, homes that are on busy streets are worth $3600 less than homes that are not on busy streets.
B) On average, homes that are on busy streets are worth $3.60 less than homes that are not on busy streets.
C) On average, homes that are on busy streets are worth $3600 more than homes that are not on busy streets.
D) On average, homes that are on busy streets are worth $3.60 more than homes that are not on busy streets.
E) None of the above is correct.

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