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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE JONGHE Kevin | 69 |
| 6 | SCHWARZMANN Michael | 69 |
| 9 | LUDVIGSSON Tobias | 76 |
| 11 | REINDERS Elmar | 78.1 |
| 12 | VAN KEIRSBULCK Guillaume | 89 |
| 14 | VAN HOECKE Gijs | 78 |
| 17 | KELDERMAN Wilco | 65 |
| 25 | MAGNUSSON Kim | 71 |
| 29 | EISING Tijmen | 80 |
| 46 | VAN DER HEIJDEN Michiel | 63 |