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 - 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Freire
1
63 kgBarbosa
2
72 kgRittsel
3
70 kgMengin
4
68 kgHundertmarck
5
72 kg
1
63 kgBarbosa
2
72 kgRittsel
3
70 kgMengin
4
68 kgHundertmarck
5
72 kg
Weight (KG) →
Result →
72
63
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREIRE Óscar | 63 |
| 2 | BARBOSA Cândido | 72 |
| 3 | RITTSEL Martin | 70 |
| 4 | MENGIN Christophe | 68 |
| 5 | HUNDERTMARCK Kai | 72 |