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 = 1.2 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Amanuel
4
63 kgClain
5
59 kgMusie
6
59 kgVan Couter
11
65 kgVerstraeten
13
67 kgNobel
27
78 kg
4
63 kgClain
5
59 kgMusie
6
59 kgVan Couter
11
65 kgVerstraeten
13
67 kgNobel
27
78 kg
Weight (KG) →
Result →
78
59
4
27
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | AMANUEL Meron | 63 |
| 5 | CLAIN Médéric | 59 |
| 6 | MUSIE Saymon | 59 |
| 11 | VAN COUTER Stein | 65 |
| 13 | VERSTRAETEN Jari | 67 |
| 27 | NOBEL Rick | 78 |