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 = 1.3 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
de Maar
1
70 kgDekkers
3
72 kgLadagnous
5
73 kgVeelers
6
75 kgDrujon
7
75 kgReihs
9
75 kg
1
70 kgDekkers
3
72 kgLadagnous
5
73 kgVeelers
6
75 kgDrujon
7
75 kgReihs
9
75 kg
Weight (KG) →
Result →
75
70
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE MAAR Marc | 70 |
| 3 | DEKKERS Hans | 72 |
| 5 | LADAGNOUS Matthieu | 73 |
| 6 | VEELERS Tom | 75 |
| 7 | DRUJON Mathieu | 75 |
| 9 | REIHS Michael | 75 |