25 A county real estate appraiser wants to develop a statistical model to predic

Question

25 A county real estate appraiser wants to develop a statistical model to predict the appraised value of houses in a section of the coun called ty East Meadow. One of the many variables thought to be an important predictor of appraised value is the number of rooms in the house. Consequently, the appraiser decided to fit the simple linear regression model number of rooms. Using data collected for a sample of n 74 houses in East Meadow, the following results were obtained 74.80 17. 98x Give a practical interpretation of the estimate of the slope of the least squares line. A) For each additional dollar of appraised value, we estimate the number of rooms in the house to increase by 17.98. B) For each additional room in the house, we estimate the appraised value to increase $17,980. C For each additional room in the house, we estimate the appraised value to increase $74,800. D) For a house with 0 rooms, we estimate the appraised value to be $74,800

Explanation / Answer

25. Option B is correct

26. Option B is correct

27. Option D is correct

28. Option D is correct

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