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 = 0.9 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NAGENGAST Ruud Junior | 62 |
| 6 | VAN DER WERFF Thom | 60 |
| 21 | ZOMERMAAND Jurgen | 67 |
| 23 | FUJIMURA Kazuma | 63 |
| 24 | DE SOUSA Miles | 59 |
| 25 | SHIMAZAKI Masao | 56 |
| 28 | BEISEMBAY Mansur | 73 |
| 34 | MORALES Jonathan | 64 |
| 40 | TSOODOL Enkhpurev | 58 |
| 43 | PODLUZHNYY Mikhail | 71 |
| 47 | KOOL Tobias | 69 |