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 = -0.1 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DURAND Jacky | 76 |
| 4 | VAN DER POEL Adrie | 70 |
| 6 | SIMON François | 70 |
| 7 | ROCHE Stephen | 74 |
| 8 | GAYANT Martial | 69 |
| 11 | MADIOT Marc | 68 |
| 14 | EKIMOV Viatcheslav | 69 |
| 18 | KELLY Sean | 77 |
| 20 | BÖLTS Udo | 73 |
| 22 | HAMBURGER Bo | 58 |
| 25 | MOREAU Francis | 77 |
| 29 | VASSEUR Cédric | 70 |
| 37 | MEINERT-NIELSEN Peter | 73 |
| 38 | DEMIERRE Serge | 70 |