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 = 0.7 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Vázquez
12
67 kgKvasina
14
72 kgRodríguez
21
58 kgMahorič
23
68 kgMaya
38
58 kgMaté
46
68 kgGazvoda
52
72 kgBožič
59
70 kg
12
67 kgKvasina
14
72 kgRodríguez
21
58 kgMahorič
23
68 kgMaya
38
58 kgMaté
46
68 kgGazvoda
52
72 kgBožič
59
70 kg
Weight (KG) →
Result →
72
58
12
59
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | VÁZQUEZ Manuel | 67 |
| 14 | KVASINA Matija | 72 |
| 21 | RODRÍGUEZ Jackson | 58 |
| 23 | MAHORIČ Mitja | 68 |
| 38 | MAYA Carlos Alberto | 58 |
| 46 | MATÉ Luis Ángel | 68 |
| 52 | GAZVODA Gregor | 72 |
| 59 | BOŽIČ Borut | 70 |