8. What is the value of the Standard Error of the Estimate? ô = Syx = What does the standard error measure? 9. Is there sufficient evidence that the variables X and Y have a linear relationship? Use a 0.1 level of significance. Here we are testing H, : B, = 0 vs H:B, #0 %3D

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Author:Amos Gilat
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Please answer questions 8 and 9 fully, data included:

Size($) Rent(sq.feet)
850 1950
1450 2600
1085 2200
1232 2500
718 1950
1485 2700
1136 2650
726 1935
700 1875
956 2150
1100 2400
1285 2650
1985 3300
1369 2800
1175 2400
1225 2450
1245 2100
1259 2700
1150 2200
896 2150
1361 2600
1040 2650
755 2200
1000 1800
1200 2750

A real estate agent wishes to examine the relationship between the selling price of a home (measured in thousands of dollars) and its size (measured in square feet). In particular she wants to assess if the size of the home can accurately predict the house’s selling price. 

8. What is the value of the Standard Error of the Estimate?
ô = Syx =
What does the standard error measure?
9. Is there sufficient evidence that the variables X and Y have a linear relationship? Use a 0.1 level of
significance.
Here we are testing H,: B, =0 vs H:B, #0
Transcribed Image Text:8. What is the value of the Standard Error of the Estimate? ô = Syx = What does the standard error measure? 9. Is there sufficient evidence that the variables X and Y have a linear relationship? Use a 0.1 level of significance. Here we are testing H,: B, =0 vs H:B, #0
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