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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Elli
1
71 kgZanette
3
82 kgFrattini
4
60 kgRodrigues
6
68 kgOlano
8
70 kg
1
71 kgZanette
3
82 kgFrattini
4
60 kgRodrigues
6
68 kgOlano
8
70 kg
Weight (KG) →
Result →
82
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLI Alberto | 71 |
| 3 | ZANETTE Denis | 82 |
| 4 | FRATTINI Francesco | 60 |
| 6 | RODRIGUES Orlando Sergio | 68 |
| 8 | OLANO Abraham | 70 |