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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CHURCH Nolan | 70 |
| 6 | LARRONDE Ellande | 71 |
| 9 | MEDINA Joaquin | 64 |
| 14 | TRUFFER Carl | 73 |
| 17 | DUCLOS-LASSALLE Hugo | 61 |
| 25 | DE GROOTE Augustus | 77 |
| 29 | AKIMOTO Ao | 62 |
| 51 | SCOTT Oliver | 76 |
| 54 | GUÉRIN Étienne | 64 |