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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEPPNER Jens | 69 |
| 3 | MOREAU Christophe | 71 |
| 4 | VASSEUR Cédric | 70 |
| 5 | DEKKER Erik | 66 |
| 7 | RUÉ Gérard | 74 |
| 8 | SIMON François | 70 |
| 9 | EKIMOV Viatcheslav | 69 |
| 10 | OLANO Abraham | 70 |
| 12 | CHANTEUR Pascal | 62 |
| 13 | BÖLTS Udo | 73 |
| 14 | BOOGERD Michael | 62 |
| 15 | REBELLIN Davide | 63 |