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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOUGEARD Alexis | 70 |
| 2 | SARREAU Marc | 76 |
| 3 | LATOUR Pierre | 66 |
| 4 | WARNIER Antoine | 71 |
| 5 | TURGIS Anthony | 70 |
| 6 | GROENEWEGEN Dylan | 70 |
| 7 | BENITO Miguel Ángel | 67 |
| 8 | LOOIJ André | 75 |
| 10 | MULLEN Ryan | 77 |
| 11 | SLIK Ivar | 71 |
| 12 | MOLANO Juan Sebastián | 72 |
| 13 | KERKHOF Tim | 76 |
| 14 | PAGE Dylan | 64 |
| 15 | MAES Alexander | 72 |
| 18 | ŠIŠKEVIČIUS Paulius | 70 |
| 22 | THALMANN Roland | 61 |