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 = -0.9 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Hoste
2
76 kgDe Wolf
3
75 kgGodefroot
14
73 kgMaertens
16
65 kgVan Looy
17
75 kg
2
76 kgDe Wolf
3
75 kgGodefroot
14
73 kgMaertens
16
65 kgVan Looy
17
75 kg
Weight (KG) →
Result →
76
65
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOSTE Frank | 76 |
| 3 | DE WOLF Fons | 75 |
| 14 | GODEFROOT Walter | 73 |
| 16 | MAERTENS Freddy | 65 |
| 17 | VAN LOOY Frans | 75 |