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 = 1.7 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Mahorič
8
68 kgRodríguez
17
58 kgMaya
27
58 kgVázquez
45
67 kgGazvoda
46
72 kgBožič
48
70 kgKvasina
49
72 kg
8
68 kgRodríguez
17
58 kgMaya
27
58 kgVázquez
45
67 kgGazvoda
46
72 kgBožič
48
70 kgKvasina
49
72 kg
Weight (KG) →
Result →
72
58
8
49
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | MAHORIČ Mitja | 68 |
| 17 | RODRÍGUEZ Jackson | 58 |
| 27 | MAYA Carlos Alberto | 58 |
| 45 | VÁZQUEZ Manuel | 67 |
| 46 | GAZVODA Gregor | 72 |
| 48 | BOŽIČ Borut | 70 |
| 49 | KVASINA Matija | 72 |