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 = -0.8 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLOMBO Gabriele | 70 |
| 2 | TCHMIL Andrei | 75 |
| 3 | MONCASSIN Frédéric | 73 |
| 6 | TEUTENBERG Sven | 66 |
| 9 | MAGNIEN Emmanuel | 68 |
| 10 | ZAMANA Cezary | 74 |
| 11 | SIMON François | 70 |
| 12 | ULLRICH Jan | 73 |
| 14 | MEJIA Alvaro | 63 |
| 15 | VAN DE WOUWER Kurt | 66 |
| 16 | DIETZ Bert | 69 |
| 17 | EKIMOV Viatcheslav | 69 |
| 19 | DUFAUX Laurent | 60 |