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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Ury
1
68 kgKess
2
70 kgKockelmann
6
70 kgBreser
10
73 kgLutgen
14
64 kg
1
68 kgKess
2
70 kgKockelmann
6
70 kgBreser
10
73 kgLutgen
14
64 kg
Weight (KG) →
Result →
73
64
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | URY Noé | 68 |
| 2 | KESS Alexandre | 70 |
| 6 | KOCKELMANN Mathieu | 70 |
| 10 | BRESER Pol | 73 |
| 14 | LUTGEN Jim | 64 |