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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Demeyer
1
85 kgGodefroot
2
73 kgvan den Hoek
4
77 kgDe Vlaeminck
6
74 kg
1
85 kgGodefroot
2
73 kgvan den Hoek
4
77 kgDe Vlaeminck
6
74 kg
Weight (KG) →
Result →
85
73
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMEYER Marc | 85 |
| 2 | GODEFROOT Walter | 73 |
| 4 | VAN DEN HOEK Aad | 77 |
| 6 | DE VLAEMINCK Roger | 74 |