06_Chapter 06 - Click to edit Master subtitle style 6. L...

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Click to edit Master subtitle style Ch 1 6. Logistic Regression 11
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Ch 1 Decision Process 1. Research Objective 2. Research Design 3. Assumption Test 4. Estimating the Regression Model and Assessing Overall Fit 5. Interpretation 6. Validation 22
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Ch 1 1. Research Objective Purpose Identify variables that can discriminate between two groups Examine the effects of the independent variables in the regression variate 33
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Ch 1 1. Research Objective Regression vs. Logistic Regression Regression Y = b1X1 + b2X2 + …. . Y: metric variable X: metric variables b: relative impact (significant or insignificant) of the independent variables (Xs) in predicting dependent variable (Y) Logistic Regression Y (0/1) = b1X1 + b2X2 + …. . Y: non-metric variable 0: non-user 1: user X: metric and non-metric variables b: relative impact (significant or insignificant) of the 44
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Ch 1 1. Research Objective Logistic Regression vs. Discriminant Analysis Logistic Regression Y: non-metric variable Only two categories 0, 1 X: metric and non-metric variable Discriminant analysis Y: non-metric variable Tow or more categ0ires 0 , 1 1, 2, 3 X: metric variable 55
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Ch 1 2. Research Design Measurement Dependent: non-metric Two categories Independent: metric & non-metric Sample Size Overall sample size Minimum: 400 or Minimum observation-to-independent variable ratio 20 : 1 66
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Ch 1 2. Research Design Division of the Sample Analysis subsample Develop the regression model Holdout subsample Validate the regression model 77
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Ch 1 2. Research Design HBAT 800 Chapters 5 & 6.sav Dependent: X4 (0 = USA/North America, 1 = Outside North America) Independent: X6 to X18 Sample size Analysis subsample 400:13 Holdout subsample 88
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Ch 1 3. Assumption Test Not required 99
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Ch 1 4.
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This note was uploaded on 06/18/2011 for the course MGT 600+ taught by Professor Shen during the Spring '11 term at Saint Joseph's University.

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06_Chapter 06 - Click to edit Master subtitle style 6. L...

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