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 + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Vaugrenard
1
72 kgGilbert
2
75 kgGuillou
5
71 kgPichot
8
72 kgvan Hummel
15
64 kg
1
72 kgGilbert
2
75 kgGuillou
5
71 kgPichot
8
72 kgvan Hummel
15
64 kg
Weight (KG) →
Result →
75
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUGRENARD Benoît | 72 |
| 2 | GILBERT Philippe | 75 |
| 5 | GUILLOU Florian | 71 |
| 8 | PICHOT Alexandre | 72 |
| 15 | VAN HUMMEL Kenny | 64 |