Five Parameters
We are trying to answer the question “How long do political candidates live after the election?” The data we are using was created through the independent investigation of Barfort, Klemmensen, and Larsen (2020). It is possible that longevity for governor candidates will be different that that of candidates for the senate and other elections. The model reveals that the interaction between sex and election age has a positive direction, suggesting that as election age increases, the life expectancy difference between male and female governors tends to widen.
\[ lived\_after_i = \beta_0 + \beta_1 male_i + \beta_2 c\_election\_age_i + \\ \beta_3 male_i * c\_election\_age_i + \epsilon_i \]
Warning in tidy.brmsfit(x, ..., effects = "fixed"): some parameter names
contain underscores: term naming may be unreliable!Characteristic |
Beta |
95% CI 1 |
|---|---|---|
| sex | ||
| sexMale | 54 | 9.1, 98 |
| election_age | -0.04 | -0.80, 0.69 |
| sex * election_age | ||
| sexMale * election_age | -0.82 | -1.6, -0.05 |
| 1
CI = Credible Interval |
||