Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 1125 2 1 121500 1461 3 4 123600 1527 3 8 158100 1719 4 9 214800 1745 4 9 215500 2197 4 11 255000 2414 4 13 257200 28302830 4 14 262200 30153015 5 14 282400 Determine if a statistically significant linear...
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Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 1125 2 1 121500 1461 3 4 123600 1527 3 8 158100 1719 4 9 214800 1745 4 9 215500 2197 4 11 255000 2414 4 13 257200 28302830 4 14 262200 30153015 5 14 282400
Determine if a statistically significant linear relationshipexists between the independent and dependent variables at the 0.01level of significance. If the relationship is statisticallysignificant, identify the multiple regression equation that bestfits the data, rounding the answers to three decimal places.Otherwise, indicate that there is not enough evidence to show thatthe relationship is statistically significant.
| Square Feet | Number of Bedrooms | Age | Selling Price |
|---|---|---|---|
| 1125 | 2 | 1 | 121500 |
| 1461 | 3 | 4 | 123600 |
| 1527 | 3 | 8 | 158100 |
| 1719 | 4 | 9 | 214800 |
| 1745 | 4 | 9 | 215500 |
| 2197 | 4 | 11 | 255000 |
| 2414 | 4 | 13 | 257200 |
| 28302830 | 4 | 14 | 262200 |
| 30153015 | 5 | 14 | 282400 |
Determine if a statistically significant linear relationshipexists between the independent and dependent variables at the 0.01level of significance. If the relationship is statisticallysignificant, identify the multiple regression equation that bestfits the data, rounding the answers to three decimal places.Otherwise, indicate that there is not enough evidence to show thatthe relationship is statistically significant.
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4.4 Ratings (663 Votes)
Note The last two values in Square Feet are lookinglike
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