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 - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNEL Alexys | 70 |
| 2 | GRIGNARD Sébastien | 68 |
| 4 | DAVY Clément | 73 |
| 7 | LECAMUS-LAMBERT Florentin | 79 |
| 8 | BURGAUDEAU Mathieu | 61 |
| 10 | GRESSIER Maxime | 67 |
| 11 | HERCHEL Dylan | 71 |
| 15 | HUENS Rémi | 74 |
| 24 | TABELLION Valentin | 72 |
| 30 | BEZZA Quentin | 76 |