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 = 1.1 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Clain
4
59 kgAmanuel
6
63 kgMusie
7
59 kgVan Couter
9
65 kgVerstraeten
11
67 kgNobel
23
78 kgAkanga
41
67 kg
4
59 kgAmanuel
6
63 kgMusie
7
59 kgVan Couter
9
65 kgVerstraeten
11
67 kgNobel
23
78 kgAkanga
41
67 kg
Weight (KG) →
Result →
78
59
4
41
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CLAIN Médéric | 59 |
| 6 | AMANUEL Meron | 63 |
| 7 | MUSIE Saymon | 59 |
| 9 | VAN COUTER Stein | 65 |
| 11 | VERSTRAETEN Jari | 67 |
| 23 | NOBEL Rick | 78 |
| 41 | AKANGA Abdou Raouf | 67 |