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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SILVESTRE Fábio | 78 |
| 2 | BREEN Vegard | 74 |
| 3 | JÉRÔME Vincent | 65 |
| 4 | THEVENOT Guillaume | 69 |
| 5 | GRELLIER Fabien | 65 |
| 6 | BAUGNIES Jérôme | 69 |
| 7 | ITURRIA Mikel | 69 |
| 9 | JARRIER Benoît | 69 |
| 10 | TURGIS Jimmy | 63 |
| 11 | TRONET Steven | 67 |
| 12 | POUILLY Félix | 66 |
| 13 | HIRT Jan | 62 |
| 14 | LEROUX Samuel | 79 |
| 15 | TULIK Angélo | 64 |
| 16 | BARBIER Rudy | 79 |