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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TXURRUKA Amets | 58 |
| 3 | DRON Boris | 72 |
| 4 | BONNAFOND Guillaume | 68 |
| 5 | DEGAND Thomas | 63 |
| 6 | VUILLERMOZ Alexis | 60 |
| 7 | PINOT Thibaut | 63 |
| 8 | MADRAZO Ángel | 61 |
| 9 | SEELDRAEYERS Kevin | 60 |
| 10 | PÉRICHON Pierre-Luc | 69 |
| 11 | HARDY Romain | 62 |
| 12 | LAENGEN Vegard Stake | 79 |
| 14 | DEMOITIÉ Antoine | 69 |
| 15 | LABORIE Christophe | 67 |
| 16 | VOECKLER Thomas | 71 |
| 17 | CHEREL Mikaël | 65 |
| 18 | GUILLEMOIS Romain | 66 |