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 = 0.8 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Maté
25
68 kgVázquez
30
67 kgMahorič
37
68 kgRodríguez
39
58 kgMaya
47
58 kgKvasina
54
72 kgBožič
56
70 kgGazvoda
62
72 kg
25
68 kgVázquez
30
67 kgMahorič
37
68 kgRodríguez
39
58 kgMaya
47
58 kgKvasina
54
72 kgBožič
56
70 kgGazvoda
62
72 kg
Weight (KG) →
Result →
72
58
25
62
| # | Rider | Weight (KG) |
|---|---|---|
| 25 | MATÉ Luis Ángel | 68 |
| 30 | VÁZQUEZ Manuel | 67 |
| 37 | MAHORIČ Mitja | 68 |
| 39 | RODRÍGUEZ Jackson | 58 |
| 47 | MAYA Carlos Alberto | 58 |
| 54 | KVASINA Matija | 72 |
| 56 | BOŽIČ Borut | 70 |
| 62 | GAZVODA Gregor | 72 |