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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
van Hummel
1
64 kgKostyuk
2
66 kgPosthuma
3
76 kgVeelers
6
75 kgde Kort
10
69 kg
1
64 kgKostyuk
2
66 kgPosthuma
3
76 kgVeelers
6
75 kgde Kort
10
69 kg
Weight (KG) →
Result →
76
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HUMMEL Kenny | 64 |
| 2 | KOSTYUK Denys | 66 |
| 3 | POSTHUMA Joost | 76 |
| 6 | VEELERS Tom | 75 |
| 10 | DE KORT Koen | 69 |