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 = -1.3 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Lachance
2
72 kgGuamá
7
61 kgVelasco
13
58 kgNarváez
14
56 kgCastaño
20
66 kgCaza
25
63 kgRodriguez
63
59 kg
2
72 kgGuamá
7
61 kgVelasco
13
58 kgNarváez
14
56 kgCastaño
20
66 kgCaza
25
63 kgRodriguez
63
59 kg
Weight (KG) →
Result →
72
56
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACHANCE Jean-Michel | 72 |
| 7 | GUAMÁ Byron | 61 |
| 13 | VELASCO Henry | 58 |
| 14 | NARVÁEZ Alexis David | 56 |
| 20 | CASTAÑO Erick | 66 |
| 25 | CAZA Rommel Andrés | 63 |
| 63 | RODRIGUEZ Pedro Sébastian | 59 |