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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KERKHOF Tim | 76 |
| 2 | GARDEYN Gorik | 75 |
| 3 | THEUNS Edward | 72 |
| 4 | VAN HOECKE Gijs | 78 |
| 5 | PETIT Adrien | 80 |
| 6 | VAN DER SANDE Tosh | 67 |
| 7 | DRUCKER Jempy | 75 |
| 8 | LAMPAERT Yves | 75 |
| 9 | MAS Lluís | 69 |
| 10 | ENGOULVENT Jimmy | 82 |
| 11 | BÁRTA Jan | 75 |
| 12 | GOUGEARD Alexis | 70 |
| 13 | WALLAYS Jelle | 77 |