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 = 2.2 * weight - 103
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Mahorič
16
68 kgRodríguez
20
58 kgMaya
28
58 kgBožič
37
70 kgKvasina
61
72 kgGazvoda
62
72 kgVázquez
76
67 kg
16
68 kgRodríguez
20
58 kgMaya
28
58 kgBožič
37
70 kgKvasina
61
72 kgGazvoda
62
72 kgVázquez
76
67 kg
Weight (KG) →
Result →
72
58
16
76
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | MAHORIČ Mitja | 68 |
| 20 | RODRÍGUEZ Jackson | 58 |
| 28 | MAYA Carlos Alberto | 58 |
| 37 | BOŽIČ Borut | 70 |
| 61 | KVASINA Matija | 72 |
| 62 | GAZVODA Gregor | 72 |
| 76 | VÁZQUEZ Manuel | 67 |