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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 3 | MAGNIEN Emmanuel | 68 |
| 4 | LOMBARDI Giovanni | 73 |
| 6 | KIRSIPUU Jaan | 80 |
| 7 | SIMON François | 70 |
| 9 | MARIE Thierry | 68 |
| 10 | CAPELLE Christophe | 73 |
| 11 | JALABERT Nicolas | 68 |
| 12 | PLANCKAERT Jo | 70 |
| 13 | SAUGRAIN Cyril | 62 |
| 14 | AUS Lauri | 75 |
| 16 | MICHAELSEN Lars | 79 |
| 17 | VERSTREPEN Johan | 66 |
| 19 | KOERTS Jans | 78 |
| 20 | BEECKMAN Koen | 66 |