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Author Question: A county real estate appraiser wants to develop a statistical model to predict the appraised value ... (Read 113 times)

shenderson6

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A county real estate appraiser wants to develop a statistical model to predict the appraised value of houses in a section of the county called 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:

E(y) = β0 + β1x,


where y = appraised value of the house (in thousands of dollars) and x = number of rooms.

What set of hypotheses would you test to determine whether appraised value is positively linearly related to number of rooms?
H0: β1 < 0 vs. Ha: β1 > 0
H0: β1 = 0 vs. Ha: β1 ≠ 0
H0: β1 = 0 vs. Ha: β1 > 0
H0: β1 = 0 vs. Ha: β1 < 0


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Marked as best answer by shenderson6 on Feb 14, 2020

cpetit11

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shenderson6

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Reply 2 on: Feb 14, 2020
Excellent


parshano

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

 

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