Logistic Regression – Age, Motorcycles & ED



Logistic Regression – Age, Motorcycles & ED

Dependent Variable: Presence/Absence of Erectile Dysfunction

Independent Variables: Age (20-29,…,50-59), Motorcycle Riding (Yes/No)

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Overall X=266+161=427 “Successes” and n=752+234=986 subjects [pic]

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Model 0:

Note: For model 0, we can compute: [pic]

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Model 1:

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LR Test for Age Effect. H0: βAge=0 HA: βAge≠0 TS: _________________ RR: ______

Wald Test for Age Effect. H0: βAge=0 HA: βAge≠0 TS: _______________ RR: _______

Model 2:

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LR Test for MR Effect. H0: βMR=0 HA: βMR ≠0 TS: _________________ RR: ______

Wald Test for MR Effect. H0: βMR=0 HA: βMR≠0 TS: _______________ RR: _______

(These Control for Age)

Model 3:

[pic] [pic]

LR Test for Age*MR Interaction H0: βAM=0 HA: βAM ≠0 TS: ___________ RR: ______

Wald Test for Age*MR Interaction. H0:βAM=0 HA: βAM≠0 TS: __________ RR: _______

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