Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 A real estate agent wishes to examine the relationship between the selling price of a home (measured in thousands of dollars) and its size (measured in square feet). In particular she wants to assess if the size of the home can accurately predict the house’s selling price.
Size($) 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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please answer question 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.
Transcribed Image Text: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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