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 + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURELET Flavien | 56 |
| 2 | BURGAUDEAU Mathieu | 61 |
| 3 | TORRES Pablo | 63.5 |
| 4 | PAILLOT Yoann | 72 |
| 6 | RUSSO Clément | 74 |
| 10 | RIVIÈRE David | 63 |
| 11 | ARMIRAIL Bruno | 72 |
| 14 | BARTHE Cyril | 70 |
| 17 | SAINT-MARTIN Clément | 66 |
| 24 | FERRON Valentin | 67 |
| 27 | BENNETT Stéfan | 58 |
| 31 | DELETTRE Alexandre | 62 |
| 42 | ARNOULT Floryan | 60 |
| 57 | FOULON Dorian | 73 |