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 = -1.4 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Wampers
8
82 kgDernies
12
75 kgVan Avermaet
20
75 kgMarcussen
25
70 kg
8
82 kgDernies
12
75 kgVan Avermaet
20
75 kgMarcussen
25
70 kg
Weight (KG) →
Result →
82
70
8
25
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | WAMPERS Jean-Marie | 82 |
| 12 | DERNIES Michel | 75 |
| 20 | VAN AVERMAET Ronald | 75 |
| 25 | MARCUSSEN Jørgen | 70 |