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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEIXAS Paul | 61 |
| 4 | SCHOOFS Jasper | 68 |
| 6 | FINN Lorenzo | 63 |
| 7 | FIETZKE Paul | 60 |
| 9 | OMRZEL Jakob | 62 |
| 12 | GRÉGOIRE Baptiste | 65 |
| 13 | VAN DEN BROEK Axel | 69 |
| 18 | SPARFEL Aubin | 59 |
| 19 | VERSTRAETE Jenthe | 59 |
| 27 | HOBOLTH Marius | 71 |
| 28 | VANHUFFEL Matteo | 57 |
| 33 | PEACE Matthew | 63 |
| 34 | VAN KERCKHOVE Matisse | 70 |
| 38 | DE GENDT Leander | 51 |
| 39 | NAGENGAST Ruud Junior | 62 |
| 42 | REMIJN Senna | 68 |