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 + 21
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GROSU Eduard-Michael | 68 |
| 5 | TEUNISSEN Mike | 73 |
| 6 | MANNION Gavin | 58 |
| 7 | KRAUWEL Bas | 77 |
| 8 | RATHE Jacob | 74 |
| 10 | CHAVANNE Gabriel | 83 |
| 11 | VAN KESSEL Corné | 68 |
| 19 | JAUN Lukas | 66 |
| 23 | SUTER Gaël | 70 |
| 30 | GROEN Ike | 70.5 |
| 31 | DE GREEF Robbert | 65 |
| 33 | BROWN Nathan | 65 |
| 35 | CRADDOCK Lawson | 69 |
| 43 | VAN ZYL Johann | 72 |
| 45 | LUTSENKO Alexey | 74 |
| 59 | AYAZBAYEV Maxat | 75 |
| 71 | PETROVSKI Stefan | 69 |