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 = -1.7 * weight + 151
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SMITH Dion | 67 |
| 13 | WILLIAMS Tyler | 73 |
| 29 | SCHREURS Hamish | 69 |
| 31 | MAISON Jérémy | 61 |
| 35 | ORAM James | 68 |
| 38 | NISHIMURA Hiroki | 59 |
| 40 | VERMEULEN Alexey | 66 |
| 45 | PERRY Benjamin | 71 |
| 62 | DANIEL Gregory | 64 |
| 95 | TOKUDA Suguru | 65 |