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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kvasina
7
72 kgBožič
9
70 kgRodríguez
11
58 kgVázquez
16
67 kgMahorič
31
68 kg
7
72 kgBožič
9
70 kgRodríguez
11
58 kgVázquez
16
67 kgMahorič
31
68 kg
Weight (KG) →
Result →
72
58
7
31
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | KVASINA Matija | 72 |
| 9 | BOŽIČ Borut | 70 |
| 11 | RODRÍGUEZ Jackson | 58 |
| 16 | VÁZQUEZ Manuel | 67 |
| 31 | MAHORIČ Mitja | 68 |