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 = 1.8 * weight - 113
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
van Vliet
2
65 kgDuclos-Lassalle
3
73 kgvan der Poel
13
70 kgDe Wilde
21
70 kgWampers
36
82 kg
2
65 kgDuclos-Lassalle
3
73 kgvan der Poel
13
70 kgDe Wilde
21
70 kgWampers
36
82 kg
Weight (KG) →
Result →
82
65
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN VLIET Leo | 65 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 13 | VAN DER POEL Adrie | 70 |
| 21 | DE WILDE Etienne | 70 |
| 36 | WAMPERS Jean-Marie | 82 |