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 + 68
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Narváez
7
56 kgLachance
8
72 kgGuamá
10
61 kgVelasco
11
58 kgCastaño
23
66 kgCaza
31
63 kgRodriguez
71
59 kg
7
56 kgLachance
8
72 kgGuamá
10
61 kgVelasco
11
58 kgCastaño
23
66 kgCaza
31
63 kgRodriguez
71
59 kg
Weight (KG) →
Result →
72
56
7
71
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | NARVÁEZ Alexis David | 56 |
| 8 | LACHANCE Jean-Michel | 72 |
| 10 | GUAMÁ Byron | 61 |
| 11 | VELASCO Henry | 58 |
| 23 | CASTAÑO Erick | 66 |
| 31 | CAZA Rommel Andrés | 63 |
| 71 | RODRIGUEZ Pedro Sébastian | 59 |