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 = 0.7 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KARPENKO Gleb | 77 |
| 5 | UHLIG Henri | 69 |
| 7 | GLOAG Thomas | 60 |
| 8 | THOMAS Théo | 61 |
| 10 | HUYBRECHTS Sander | 55 |
| 11 | ROOTKIN-GRAY Jack | 67 |
| 13 | HUYS Branko | 77 |
| 22 | KURITS Joonas | 74 |
| 25 | CAS Stijn | 58 |
| 28 | RASENBERG Martijn | 78 |
| 36 | STEVENS Daan | 72 |
| 37 | BOONS Jente | 79 |
| 42 | NYS Thibau | 64 |
| 43 | ANDERSONS Roberts | 77 |
| 50 | COPPENS Michiel | 75 |