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 = 1.6 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Verheyen
3
68 kgVan Hyfte
4
70 kgVandenbroucke
6
67 kgVan Lancker
27
67 kgFeys
29
80 kgMerckx
30
77 kg
3
68 kgVan Hyfte
4
70 kgVandenbroucke
6
67 kgVan Lancker
27
67 kgFeys
29
80 kgMerckx
30
77 kg
Weight (KG) →
Result →
80
67
3
30
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VERHEYEN Geert | 68 |
| 4 | VAN HYFTE Paul | 70 |
| 6 | VANDENBROUCKE Frank | 67 |
| 27 | VAN LANCKER Kurt | 67 |
| 29 | FEYS Wim | 80 |
| 30 | MERCKX Axel | 77 |