Statistics › Section N · Counting, Bayesian inference, and multiple regression › Topic N.5
Reading regression output and multiple regression
Research papers, business reports and software summaries all speak one language: the regression table. This final topic teaches that language, then extends it - several predictors at once, each holding the others constant - the main tool observational studies use to adjust for other variables.
In this topic
- The regression table
- Multiple regression
- Holding others constant - the payoff
- Worked example: reading a table, line by line
- Worked example: what the model does NOT say
- Categorical predictors: indicator variables
- Multicollinearity: when predictors travel together
- Overfitting: too many predictors
- Common mistakes to avoid
- Key takeaways
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