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 = -1.9 * weight + 149
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
De Gendt
1
75 kgVan Gompel
2
70 kgVan Hooydonck
4
78 kgVermeulen
9
66 kgNoppe
10
73 kgBlomme
26
68 kgDaniel
37
64 kg
1
75 kgVan Gompel
2
70 kgVan Hooydonck
4
78 kgVermeulen
9
66 kgNoppe
10
73 kgBlomme
26
68 kgDaniel
37
64 kg
Weight (KG) →
Result →
78
64
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GENDT Aimé | 75 |
| 2 | VAN GOMPEL Mathias | 70 |
| 4 | VAN HOOYDONCK Nathan | 78 |
| 9 | VERMEULEN Alexey | 66 |
| 10 | NOPPE Christophe | 73 |
| 26 | BLOMME Lorenzo | 68 |
| 37 | DANIEL Gregory | 64 |