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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
van der Weijst
1
63 kgCapiot
3
69 kgSchmidt
10
63 kgKalojíros
20
68 kg
1
63 kgCapiot
3
69 kgSchmidt
10
63 kgKalojíros
20
68 kg
Weight (KG) →
Result →
69
63
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER WEIJST Geert | 63 |
| 3 | CAPIOT Amaury | 69 |
| 10 | SCHMIDT Fabien | 63 |
| 20 | KALOJÍROS Tomáš | 68 |