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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
De Schuyteneer
2
74 kgVandenabeele
8
64 kgDockx
10
61 kgVanhaecke
11
65 kg
2
74 kgVandenabeele
8
64 kgDockx
10
61 kgVanhaecke
11
65 kg
Weight (KG) →
Result →
74
61
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE SCHUYTENEER Steffen | 74 |
| 8 | VANDENABEELE Kobe | 64 |
| 10 | DOCKX Gilles | 61 |
| 11 | VANHAECKE Arno | 65 |