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 = -0.6 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kvasina
5
72 kgBožič
16
70 kgMahorič
23
68 kgRodríguez
27
58 kgGazvoda
33
72 kg
5
72 kgBožič
16
70 kgMahorič
23
68 kgRodríguez
27
58 kgGazvoda
33
72 kg
Weight (KG) →
Result →
72
58
5
33
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KVASINA Matija | 72 |
| 16 | BOŽIČ Borut | 70 |
| 23 | MAHORIČ Mitja | 68 |
| 27 | RODRÍGUEZ Jackson | 58 |
| 33 | GAZVODA Gregor | 72 |