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Multivariate Models Regression.

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Presentation on theme: "Multivariate Models Regression."— Presentation transcript:

1 Multivariate Models Regression

2 Models A Model: A statement of the relationship between a phenomenon to be explained and the factors, or variables, which explain it. Steps in the Process of Quantitative Analysis: Specification of the model Estimation of the model Evaluation of the model

3 Model of Housing Values and Building Size
There is a linear relationship between building size and housing value. As the size of the building increases, the value of the house increases. Building Size = Square Feet/1000 Housing Value = 1905 Property Assessment in 2002 dollars/1000 Housing Value = a + b(Building Size)

4 Model of Housing Values and Building Size
Dep Var: NEWVAL N: Multiple R: Squared multiple R: 0.517 Adjusted squared multiple R: Standard error of estimate: Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail) CONSTANT NEWSIZE Analysis of Variance Source Sum-of-Squares df Mean-Square F-ratio P Regression Residual

5 Extending the Model… Housing Value is determined by building size and the number of families in the dwelling. Families = no. of families in the dwelling Housing Value = a + b1(Building Size) + b2(Families)

6 Further extension of Model of Determinants of Housing Value
Dep Var: NEWVAL N: Multiple R: Squared multiple R: 0.524 Adjusted squared multiple R: Standard error of estimate: Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail) CONSTANT NEWSIZE FAMILIES Analysis of Variance Source Sum-of-Squares df Mean-Square F-ratio P Regression Residual

7 Model of Household Food Costs and Household Income
There is a linear relationship between food costs and household income. As household income increases, the household’s expenditure on food increases. Food Costs: Total spent by the family per year on food (V72) Household Income: Annual household income from all sources (V38) Food Costs = a + b(Household Income)

8 The Relationship between Household Food Costs and Family Income
REGRESS MODEL V72 = CONSTANT+V38 Dep Var: V72 N: Multiple R: Squared multiple R: 0.400 Adjusted squared multiple R: Standard error of estimate: Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail) CONSTANT V Analysis of Variance Source Sum-of-Squares df Mean-Square F-ratio P Regression Residual

9 The Relationship of Food Costs and Household Income

10 Extending the Model… Food Costs are determined by household income and by the number of people in the household. Family Size = no. of people in the household (V12) Food Costs = a+ b1(Household income) + b2(Family size)

11 Modelling the Determinants of Food Costs
REGRESS MODEL V72 = CONSTANT+V38+V12 Dep Var: V72 N: Multiple R: Squared multiple R: 0.511 Adjusted squared multiple R: Standard error of estimate: Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail) CONSTANT V V Analysis of Variance Source Sum-of-Squares df Mean-Square F-ratio P Regression Residual

12 Visualizing Multiple Regression


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