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 = -1.2 * weight + 84
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Bernabéu
2
66 kgPaulinho
5
64 kgRomanik
6
62 kgPetrov
7
63 kgCuesta
8
62 kgRibeiro
11
59 kg
2
66 kgPaulinho
5
64 kgRomanik
6
62 kgPetrov
7
63 kgCuesta
8
62 kgRibeiro
11
59 kg
Weight (KG) →
Result →
66
59
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERNABÉU David | 66 |
| 5 | PAULINHO Sérgio Miguel | 64 |
| 6 | ROMANIK Radosław | 62 |
| 7 | PETROV Danail Andonov | 63 |
| 8 | CUESTA Iñigo | 62 |
| 11 | RIBEIRO Nuno | 59 |