g A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. hh Which statement is supported by the regression output? Select one: At α =.05, FP is not a significant predictor in a two-tailed test FP is a more significant predictor than Size A large house with no fireplace will sell for more than a small house with a fireplace a fireplace adds around $6476 to the selling price of the average house

Question

Jaydon Moyer

Mathematics

19 March, 12:23

g A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. hh Which statement is supported by the regression output? Select one: At α =.05, FP is not a significant predictor in a two-tailed test FP is a more significant predictor than Size A large house with no fireplace will sell for more than a small house with a fireplace a fireplace adds around $6476 to the selling price of the average house

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Answers (1)

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Laurel · Answer 1

size=13.80966

Step-by-step explanation:

Missing information:

size=13.80966

Since p-value of FP is less than 0.05 so it is significant to the model.

If all other things remain constant then a fire place add approximately $6476 to the selling price of the average house. So statement "A fireplace adds around $6476 to the selling price of the average house." is supported by the model.