Interpreting Logit Regression Results in STATA Assignments

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Interpreting Logit Regression Results in STATA
Assignments
By Statistics Help Desk
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Introduction to Logit Regression
Logit regression is in use when your dependent
variable is binary (e.g., yes/no, 1/0). Thus,
instead of predicting a continuous outcome, it
also models the probability of a certain outcome
that is occurring. .
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Understanding the Basics
Logits and Odds Ratios logit regression does not
actually predict probabilities. Instead, it
models the log-odds of an event happening.
Coefficients From STATA software, the change
arising from a unit increase in your predictor as
described in the logit regression output is
presented as Coef.
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How to Perform a Logit Regression in STATA
Make sure your dependent variable is binary. In
our case, the dependent variable is support for
gay marriage. If this variable isnt binary,
youll need to recode it. recode marhomo (1/21
"Favor")(3/50 "Neutral or oppose"),
gen(marhomo_r) label variable marhomo_r
"Favorable view toward gay marriage" To estimate
a logit regression, use the following command
logit marhomo_r educ, nolog
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Interpreting the Output
Here is a sample output
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Converting to Odds Ratios
logit marhomo_r educ, nolog or
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Interpreting the output
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Menu Method

• Click on "Statistics" gt "Binary outcomes" gt
  "Logistic regression".
• Fill in the dependent and independent variables.
• Click on the "Reporting" tab to choose "Report
  estimated coefficients".
• Click "OK".

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