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 = 2.3 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Božič
2
70 kgRodríguez
4
58 kgMahorič
17
68 kgVázquez
23
67 kgMaté
24
68 kgMaya
47
58 kgKvasina
62
72 kgGazvoda
102
72 kg
2
70 kgRodríguez
4
58 kgMahorič
17
68 kgVázquez
23
67 kgMaté
24
68 kgMaya
47
58 kgKvasina
62
72 kgGazvoda
102
72 kg
Weight (KG) →
Result →
72
58
2
102
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOŽIČ Borut | 70 |
| 4 | RODRÍGUEZ Jackson | 58 |
| 17 | MAHORIČ Mitja | 68 |
| 23 | VÁZQUEZ Manuel | 67 |
| 24 | MATÉ Luis Ángel | 68 |
| 47 | MAYA Carlos Alberto | 58 |
| 62 | KVASINA Matija | 72 |
| 102 | GAZVODA Gregor | 72 |