New names:
Rows: 6704 Columns: 9
── Column specification
──────────────────────────────────────────────────────── Delimiter: "," chr
(5): Gender, Education Level, Job Title, Country, Race dbl (4): ...1, Age,
Years of Experience, Salary
ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
Specify the column types or set `show_col_types = FALSE` to quiet this message.
• `` -> `...1`Global Salaries
Warning in tidy.brmsfit(x, ..., effects = "fixed"): some parameter names
contain underscores: term naming may be unreliable!Characteristic |
Beta |
95% CI 1 |
|---|---|---|
| years_of_experience | 5,793 | 5,666, 5,919 |
| education_level | ||
| Bachelor's | — | — |
| education_levelBachelorsDegree | -38,556 | -40,634, -36,383 |
| education_levelHighSchool | -66,940 | -69,935, -63,880 |
| education_levelMasters | 10,018 | 6,516, 13,476 |
| education_levelMastersDegree | -23,565 | -25,829, -21,266 |
| phD | -13,575 | -65,031, 36,256 |
| PhD | -7,562 | -10,071, -5,027 |
| 1
CI = Credible Interval |
||
[1] "This makes a regression table that summarizes the model fit."