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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTT Oliver | 76 |
| 4 | TRUFFER Carl | 73 |
| 5 | LARRONDE Ellande | 71 |
| 6 | MEDINA Joaquin | 64 |
| 16 | CHURCH Nolan | 70 |
| 26 | DUCLOS-LASSALLE Hugo | 61 |
| 34 | AKIMOTO Ao | 62 |
| 54 | GUÉRIN Étienne | 64 |
| 56 | DE GROOTE Augustus | 77 |