You are a new hire at Laurel Woods Real Estate, which specializes in selling foreclosed homes via public auction. Your boss has asked you to use the following data (mortgage balance, monthly payments, payments made before default, and final auction price) on a random sample of recent sales to estimate what the actual auction price will be. Loan ($) Payments ($) Payments Made Auction ($) 85600 985.87 1 16900 115300 902.56 33 75800 103100 736.28 6 43900 84600 945.45 9 16600 97600 821.07 24 40700 104400 983.27 26 63100 113800 1075.54 19 72600 116400 1087.16 35 72300 100000 900.01 33 58100 92800 683.11 36 37100 105200 915.24 34 52600 105900 905.67 38 51900 94700 810.7 25 43200 105600 891.33 20 52600 104100 864.38 7 42700 85700 1074.73 30 22200 113600 871.61 24 77000 119400 1021.23 58 69000 90600 836.46 3 35600 104500 1056.37 22 63000 GIVEN - ALL CORRECT: Auction price =(118,929.46)+1.63 Loan +2.06 Monthly payment +50.34 Payments Made. ANOVA Source DF SS MS F p-value Regression 3 5,966,725,061 1,988,908,354 39.83 0 Residual Error 16 798,944,439 49,934,027 Total 19 6,765,669,500 The excel data table is attached at the bottom (It is also correct). Rejected if t < -2.12 or t> 2.12 FIND: If it seems one or more of the independent variables is not needed, remove it (them) and work out the revised regression equation. The revised regression equation is: Auction Price =____________ +_________ Loan.
You are a new hire at Laurel Woods Real Estate, which specializes in selling foreclosed homes via public auction. Your boss has asked you to use the following data (mortgage balance, monthly payments, payments made before default, and final auction price) on a random sample of recent sales to estimate what the actual auction price will be. Loan ($) Payments ($) Payments Made Auction ($) 85600 985.87 1 16900 115300 902.56 33 75800 103100 736.28 6 43900 84600 945.45 9 16600 97600 821.07 24 40700 104400 983.27 26 63100 113800 1075.54 19 72600 116400 1087.16 35 72300 100000 900.01 33 58100 92800 683.11 36 37100 105200 915.24 34 52600 105900 905.67 38 51900 94700 810.7 25 43200 105600 891.33 20 52600 104100 864.38 7 42700 85700 1074.73 30 22200 113600 871.61 24 77000 119400 1021.23 58 69000 90600 836.46 3 35600 104500 1056.37 22 63000 GIVEN - ALL CORRECT: Auction price =(118,929.46)+1.63 Loan +2.06 Monthly payment +50.34 Payments Made. ANOVA Source DF SS MS F p-value Regression 3 5,966,725,061 1,988,908,354 39.83 0 Residual Error 16 798,944,439 49,934,027 Total 19 6,765,669,500 The excel data table is attached at the bottom (It is also correct). Rejected if t < -2.12 or t> 2.12 FIND: If it seems one or more of the independent variables is not needed, remove it (them) and work out the revised regression equation. The revised regression equation is: Auction Price =____________ +_________ Loan.
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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You are a new hire at Laurel Woods Real Estate, which specializes in selling foreclosed homes via public auction. Your boss has asked you to use the following data (mortgage balance, monthly payments, payments made before default, and final auction price) on a random sample of recent sales to estimate what the actual auction price will be.
Loan ($) | Payments ($) | Payments Made | Auction ($) |
85600 | 985.87 | 1 | 16900 |
115300 | 902.56 | 33 | 75800 |
103100 | 736.28 | 6 | 43900 |
84600 | 945.45 | 9 | 16600 |
97600 | 821.07 | 24 | 40700 |
104400 | 983.27 | 26 | 63100 |
113800 | 1075.54 | 19 | 72600 |
116400 | 1087.16 | 35 | 72300 |
100000 | 900.01 | 33 | 58100 |
92800 | 683.11 | 36 | 37100 |
105200 | 915.24 | 34 | 52600 |
105900 | 905.67 | 38 | 51900 |
94700 | 810.7 | 25 | 43200 |
105600 | 891.33 | 20 | 52600 |
104100 | 864.38 | 7 | 42700 |
85700 | 1074.73 | 30 | 22200 |
113600 | 871.61 | 24 | 77000 |
119400 | 1021.23 | 58 | 69000 |
90600 | 836.46 | 3 | 35600 |
104500 | 1056.37 | 22 | 63000 |
GIVEN - ALL CORRECT:
- Auction price =(118,929.46)+1.63 Loan +2.06 Monthly payment +50.34 Payments Made.
-
ANOVA
Source DF SS MS F p-value Regression 3 5,966,725,061 1,988,908,354 39.83 0 Residual Error 16 798,944,439 49,934,027 Total 19 6,765,669,500 - The excel data table is attached at the bottom (It is also correct).
- Rejected if t < -2.12 or t> 2.12
FIND:
If it seems one or more of the independent variables is not needed, remove it (them) and work out the revised regression equation. The revised regression equation is: Auction Price =____________ +_________ Loan.
Expert Solution
Step 1
Given data
Loan ($) | Payments ($) | Payments Made | Auction ($) |
85600 | 985.87 | 1 | 16900 |
115300 | 902.56 | 33 | 75800 |
103100 | 736.28 | 6 | 43900 |
84600 | 945.45 | 9 | 16600 |
97600 | 821.07 | 24 | 40700 |
104400 | 983.27 | 26 | 63100 |
113800 | 1075.54 | 19 | 72600 |
116400 | 1087.16 | 35 | 72300 |
100000 | 900.01 | 33 | 58100 |
92800 | 683.11 | 36 | 37100 |
105200 | 915.24 | 34 | 52600 |
105900 | 905.67 | 38 | 51900 |
94700 | 810.7 | 25 | 43200 |
105600 | 891.33 | 20 | 52600 |
104100 | 864.38 | 7 | 42700 |
85700 | 1074.73 | 30 | 22200 |
113600 | 871.61 | 24 | 77000 |
119400 | 1021.23 | 58 | 69000 |
90600 | 836.46 | 3 | 35600 |
104500 | 1056.37 | 22 | 63000 |
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