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 + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Fréchaut
1
78 kgLaurent
2
77 kgLemarié
3
68 kgCacheux
4
60 kgOubron
6
69 kg
1
78 kgLaurent
2
77 kgLemarié
3
68 kgCacheux
4
60 kgOubron
6
69 kg
Weight (KG) →
Result →
78
60
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRÉCHAUT Jean | 78 |
| 2 | LAURENT Marcel | 77 |
| 3 | LEMARIÉ Raymond | 68 |
| 4 | CACHEUX Maurice | 60 |
| 6 | OUBRON Robert | 69 |