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 - 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Didier
1
68 kgJungels
2
70 kgKirsch
3
78 kgGastauer
4
73 kgThill
6
73 kg
1
68 kgJungels
2
70 kgKirsch
3
78 kgGastauer
4
73 kgThill
6
73 kg
Weight (KG) →
Result →
78
68
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIDIER Laurent | 68 |
| 2 | JUNGELS Bob | 70 |
| 3 | KIRSCH Alex | 78 |
| 4 | GASTAUER Ben | 73 |
| 6 | THILL Tom | 73 |