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 = 0.6 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | FUJIMURA Kazuma | 63 |
| 8 | VAN DER WERFF Thom | 60 |
| 13 | BEISEMBAY Mansur | 73 |
| 20 | DE SOUSA Miles | 59 |
| 23 | NAGENGAST Ruud Junior | 62 |
| 26 | SHIMAZAKI Masao | 56 |
| 27 | KOOL Tobias | 69 |
| 37 | MORALES Jonathan | 64 |
| 55 | TSOODOL Enkhpurev | 58 |
| 59 | PODLUZHNYY Mikhail | 71 |
| 65 | ZOMERMAAND Jurgen | 67 |