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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Journiaux
1
63 kgBrunel
4
70 kgSix
5
72 kgFerron
6
67 kgSivakov
8
70 kgChampoussin
10
61 kgMolly
11
61 kg
1
63 kgBrunel
4
70 kgSix
5
72 kgFerron
6
67 kgSivakov
8
70 kgChampoussin
10
61 kgMolly
11
61 kg
Weight (KG) →
Result →
72
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOURNIAUX Axel | 63 |
| 4 | BRUNEL Alexys | 70 |
| 5 | SIX Franklin | 72 |
| 6 | FERRON Valentin | 67 |
| 8 | SIVAKOV Pavel | 70 |
| 10 | CHAMPOUSSIN Clément | 61 |
| 11 | MOLLY Kenny | 61 |