A second course in statistics regression analysis 7th by mendenhall ch04
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Chapter 4
Multiple
Regression
Models
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Section 4.1
General
Form of a
Multiple
Regression
Model
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Section 4.2
Model
Assumptions
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Section 4.3
A First-Order
Model with
Quantitative
Predictors
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Figure 4.1 Graphs of
E(y) = 1+ 2x1 = x2 for x2 = 0,1,2
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Section 4.4
Fitting the
Model: The
Method of
Least Squares
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Figure 4.2 MINITAB side-by-side
scatterplots for the data of Table 4.1
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Figure 4.3 SAS regression output for
the auction price model, Example 4.1
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Section 4.5
Estimation of
σ 2, the
Variance of ε
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Section 4.6
Testing the
Utility of a
Model:
The Analysis
of Variance
F-Test
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Figure 4.4 Rejection region for the
global F-test
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Figure 4.5 MINITAB regression
printout for grandfather clock model
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Section 4.7
Inferences
About the
Individual β
Parameters
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Figure 4.6 SAS regression output for
the auction price model, Example 4.4
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Section 4.8
Multiple
Coefficients of
Determination:
2
2
R and R a
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Figure 4.7 A portion of the SPSS
regression output for the auction price
model
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Section 4.9
Using the
Model for
Estimation
and Prediction
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