Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -2.5 * weight + 200
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 2 | SMITH Dion | 67 |
| 10 | NISHIMURA Hiroki | 59 |
| 12 | WILLIAMS Tyler | 73 |
| 16 | DANIEL Gregory | 64 |
| 20 | SCHREURS Hamish | 69 |
| 23 | PERRY Benjamin | 71 |
| 54 | VERMEULEN Alexey | 66 |
| 79 | MAISON Jérémy | 61 |
| 95 | TOKUDA Suguru | 65 |