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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bonsergent
4
66 kgVan Hecke
6
69 kgPaulissen
8
65 kgLequatre
13
64 kgRasch
15
72 kg
4
66 kgVan Hecke
6
69 kgPaulissen
8
65 kgLequatre
13
64 kgRasch
15
72 kg
Weight (KG) →
Result →
72
64
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BONSERGENT Stéphane | 66 |
| 6 | VAN HECKE Preben | 69 |
| 8 | PAULISSEN Roel | 65 |
| 13 | LEQUATRE Geoffroy | 64 |
| 15 | RASCH Gabriel | 72 |