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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOELGAARD Markus | 74 |
| 2 | TIETEMA Bas | 74 |
| 3 | HAMILTON Lucas | 71 |
| 4 | VANHOUCKE Harm | 65 |
| 5 | HINDLEY Jai | 60 |
| 8 | SOSA Iván Ramiro | 52 |
| 9 | HAGEN Carl Fredrik | 65 |
| 10 | DUMOURIER Florian | 60 |
| 11 | CRAS Steff | 65 |
| 12 | DAVIES Scott | 66 |
| 13 | KANTER Max | 68 |
| 15 | MCNULTY Brandon | 69 |
| 16 | STORER Michael | 63 |
| 18 | NIEUWENHUIS Joris | 71 |