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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TRONET Steven | 67 |
| 3 | VELITS Peter | 63 |
| 5 | VELITS Martin | 70 |
| 6 | QUÉMÉNEUR Perrig | 67 |
| 8 | HUGUET Yann | 66 |
| 11 | MASSON Christophe | 68 |
| 13 | CHEREL Mikaël | 65 |
| 14 | ARASHIRO Yukiya | 64 |
| 15 | DEROO David | 61 |
| 20 | FEILLU Romain | 62 |
| 21 | TURGOT Sébastien | 73 |
| 22 | POULHIÈS Stéphane | 75 |
| 28 | JANSE VAN RENSBURG Jacques | 63 |