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 = -0.1 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER WERFF Thom | 60 |
| 7 | BEISEMBAY Mansur | 73 |
| 11 | KOOL Tobias | 69 |
| 23 | DE SOUSA Miles | 59 |
| 31 | SHIMAZAKI Masao | 56 |
| 32 | FUJIMURA Kazuma | 63 |
| 40 | NAGENGAST Ruud Junior | 62 |
| 49 | MORALES Jonathan | 64 |
| 50 | TSOODOL Enkhpurev | 58 |
| 52 | PODLUZHNYY Mikhail | 71 |
| 67 | ZOMERMAAND Jurgen | 67 |