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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGUSTYN John-Lee | 65 |
| 2 | BELOHVOŠČIKS Raivis | 70 |
| 3 | DYACHENKO Alexandr | 65 |
| 4 | DUMA Vladimir | 64 |
| 5 | MIZUROV Andrey | 68 |
| 7 | VELITS Peter | 63 |
| 9 | DOI Yukihiro | 58 |
| 10 | LLOYD Matthew | 62 |
| 11 | VELITS Martin | 70 |
| 13 | MCCANN David | 73 |
| 14 | FUKUSHIMA Shinichi | 62 |
| 15 | ARASHIRO Yukiya | 64 |
| 19 | MIYAZAWA Takashi | 61 |