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 = -0.6 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAEDO Juan José | 73 |
| 4 | COOKE Baden | 75 |
| 5 | MAMOS Philipp | 72 |
| 6 | KIRSIPUU Jaan | 80 |
| 7 | O'GRADY Stuart | 73 |
| 8 | LAMPATER Leif | 75 |
| 10 | ASKARI Hossein | 73 |
| 12 | JANORSCHKE Grischa | 78 |
| 14 | SOHRABI Mehdi | 69 |
| 16 | HAEDO Lucas Sebastián | 64 |
| 19 | OJAVEE Mart | 80 |
| 21 | MIZUROV Andrey | 68 |
| 23 | BEUCHAT Roger | 62 |
| 27 | MCGRORY Scott | 73 |
| 33 | VAN BON Léon | 72 |