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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHURAN Michal | 70 |
| 3 | DE BOD Stefan | 66 |
| 4 | LEBAS Thomas | 65 |
| 7 | TEUGELS Lennert | 64 |
| 8 | BREGNHØJ Mathias | 63 |
| 9 | EYOB Metkel | 61 |
| 10 | HABTEAB Yoel | 61 |
| 11 | TAARAMÄE Rein | 68 |
| 12 | SMIT Willie | 72 |
| 13 | CLAEYS Robbe | 68.5 |
| 14 | PRADES Benjamín | 56 |