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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | O'SHEA Glenn | 76 |
| 4 | TRONET Steven | 67 |
| 6 | BAUGNIES Jérôme | 69 |
| 8 | BREEN Vegard | 74 |
| 11 | PARDINI Olivier | 68 |
| 12 | GARDEYN Gorik | 75 |
| 14 | JÉRÔME Vincent | 65 |
| 15 | TURGIS Anthony | 70 |
| 16 | KNEISKY Morgan | 68 |
| 17 | STASSEN Julien | 66 |
| 19 | JAKIN Alo | 71 |
| 23 | KERN Christophe | 72 |
| 25 | LEROUX Samuel | 79 |
| 26 | TULIK Angélo | 64 |
| 28 | GODRIE Stan | 74 |
| 29 | MALACARNE Gael | 73 |
| 30 | HIRT Jan | 62 |
| 31 | BOUDAT Thomas | 70 |