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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOMANS Carlo | 74 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 4 | DE WILDE Etienne | 70 |
| 5 | VAN DER POEL Adrie | 70 |
| 7 | MUSEEUW Johan | 71 |
| 8 | FIGNON Laurent | 67 |
| 9 | HOLM SØRENSEN Brian | 77 |
| 13 | INDURÁIN Miguel | 76 |
| 18 | ROCHE Stephen | 74 |
| 20 | EKIMOV Viatcheslav | 69 |
| 27 | RUÉ Gérard | 74 |
| 28 | ARGENTIN Moreno | 66 |