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 = -1.7 * weight + 135
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TRUFFER Carl | 73 |
| 7 | HARRIS Patrick | 70 |
| 8 | BOUCHARD Alexis | 61 |
| 10 | GIAMMARELLA Adamo | 62 |
| 17 | BEGIN Mathis | 61 |
| 20 | ST ANDRE Alex | 65 |
| 23 | MEDINA Joaquin | 64 |
| 49 | DUCLOS-LASSALLE Hugo | 61 |
| 63 | GUÉRIN Étienne | 64 |