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 = 0.2 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kvasina
10
72 kgRodríguez
12
58 kgBožič
14
70 kgVázquez
23
67 kgMaté
25
68 kgMahorič
39
68 kg
10
72 kgRodríguez
12
58 kgBožič
14
70 kgVázquez
23
67 kgMaté
25
68 kgMahorič
39
68 kg
Weight (KG) →
Result →
72
58
10
39
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | KVASINA Matija | 72 |
| 12 | RODRÍGUEZ Jackson | 58 |
| 14 | BOŽIČ Borut | 70 |
| 23 | VÁZQUEZ Manuel | 67 |
| 25 | MATÉ Luis Ángel | 68 |
| 39 | MAHORIČ Mitja | 68 |