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 = -0.7 * weight + 105
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 31 | ABDUZHAPAROV Djamolidine | 72 |
| 37 | VILAMAJO Jaime | 70 |
| 40 | SKIBBY Jesper | 70 |
| 47 | BREUKINK Erik | 70 |
| 50 | INDURÁIN Miguel | 76 |
| 53 | LILHOLT Søren | 72 |
| 56 | MARIE Thierry | 68 |
| 57 | DE WOLF Fons | 75 |
| 62 | RIIS Bjarne | 71 |
| 65 | OVANDO Rolando | 66 |
| 68 | GAYANT Martial | 69 |
| 73 | NAVARRO Francisco | 77 |
| 77 | SØRENSEN Rolf | 70 |
| 80 | DOMÍNGUEZ Manuel Jorge | 67 |