Interpreting linear models (2)

class: center, middle, inverse, title-slide

.title[
# Interpreting linear models (2)
]
.author[
### Yue Jiang
]
.date[
### STA 440 / Spring 2025
]

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### Classroom entry code

<br><br><br><br>
.center[
**Z32ZJ8**
]

.center[(put in your GitHub username; our first lab is this week!)]

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### Example 3

.question[
Using only this table from the article, what do you think was/were the primary question/s of interest for this article?
]

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### Example 3

.question[
Do you see any mistakes in the table as written? (hint: there are two!)
]

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### Example 3

.question[
Write a "generic" model featuring a linear predictor and the logistic model displayed in the slides (for one of the three models).
]

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### Example 3

.question[
Interpret the (adjusted) odds ratio corresponding to age and family meal `$\ge$` 4 d/wk for the "regular bedtime" model and the associated 95% confidence intervals. What might you conclude?
]

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### Example 3

.question[
Suppose the reference group for the federal poverty level variable were actually "below poverty level." What would the associated adjusted odds ratio and 95% confidence interval for $\ge$400% be for the "flourishing" model? If this cannot be determined, explain why not.
]

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### Example 3

.question[
Suppose the researchers forgot to use `glm` and simply used `lm` (on the 0/1 outcome). Are these results interpretable? If so, do so (for the same variables, age and family meal), and if not, explain why not.
]