Warning: package 'tidybayes' was built under R version 4.4.1
Warning: package 'brms' was built under R version 4.4.1
Warning: package 'gtsummary' was built under R version 4.4.1
Warning: package 'tidybayes' was built under R version 4.4.1
Warning: package 'brms' was built under R version 4.4.1
Warning: package 'gtsummary' was built under R version 4.4.1
Warning: Rows containing NAs were excluded from the model.
[1] "Using the NHANES dataset from the National Health and Nutrition Examination Survey, which includes 15 variables such as height and weight from 2009 to 2011, we aim to create a model of height for adult men to address specific questions about height probabilities and related statistical aspects. Since the data is over a decade old it is misleading of the current population. We modeled a simple linear regression model with the formula being height ~1 and the dependent variable is the height. After analysis, it shows a 28.3% chance of this happening."
# A tibble: 1 × 2
.row odds
<int> <dbl>
1 1 0.185
Characteristic |
Beta |
95% CI 1 |
|---|---|---|
| (Intercept) | 162 | 161, 162 |
| 1
CI = Credible Interval |
||