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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Svorada
1
76 kgLoddo
2
60 kgCancellara
4
80 kgKlemenčič
5
69 kgGasparre
7
60 kgMetlushenko
9
82 kg
1
76 kgLoddo
2
60 kgCancellara
4
80 kgKlemenčič
5
69 kgGasparre
7
60 kgMetlushenko
9
82 kg
Weight (KG) →
Result →
82
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 2 | LODDO Alberto | 60 |
| 4 | CANCELLARA Fabian | 80 |
| 5 | KLEMENČIČ Zoran | 69 |
| 7 | GASPARRE Graziano | 60 |
| 9 | METLUSHENKO Yuri | 82 |