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 = 2.5 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Guamá
3
61 kgNarváez
19
56 kgVelasco
20
58 kgRodriguez
37
59 kgCastaño
41
66 kgCaza
50
63 kgLachance
57
72 kg
3
61 kgNarváez
19
56 kgVelasco
20
58 kgRodriguez
37
59 kgCastaño
41
66 kgCaza
50
63 kgLachance
57
72 kg
Weight (KG) →
Result →
72
56
3
57
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 19 | NARVÁEZ Alexis David | 56 |
| 20 | VELASCO Henry | 58 |
| 37 | RODRIGUEZ Pedro Sébastian | 59 |
| 41 | CASTAÑO Erick | 66 |
| 50 | CAZA Rommel Andrés | 63 |
| 57 | LACHANCE Jean-Michel | 72 |