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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Henderson
2
75 kgCapelle
4
75 kgBossoni
5
62 kgPankov
10
72 kgDe Neef
21
75 kgGuyton
30
74 kg
2
75 kgCapelle
4
75 kgBossoni
5
62 kgPankov
10
72 kgDe Neef
21
75 kgGuyton
30
74 kg
Weight (KG) →
Result →
75
62
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HENDERSON Gregory | 75 |
| 4 | CAPELLE Ludovic | 75 |
| 5 | BOSSONI Paolo | 62 |
| 10 | PANKOV Oleg | 72 |
| 21 | DE NEEF Steven | 75 |
| 30 | GUYTON Scott | 74 |