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 = -2.6 * weight + 185
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Lachance
2
72 kgGuamá
4
61 kgCastaño
7
66 kgVelasco
12
58 kgRodriguez
14
59 kgCaza
47
63 kgNarváez
74
56 kg
2
72 kgGuamá
4
61 kgCastaño
7
66 kgVelasco
12
58 kgRodriguez
14
59 kgCaza
47
63 kgNarváez
74
56 kg
Weight (KG) →
Result →
72
56
2
74
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACHANCE Jean-Michel | 72 |
| 4 | GUAMÁ Byron | 61 |
| 7 | CASTAÑO Erick | 66 |
| 12 | VELASCO Henry | 58 |
| 14 | RODRIGUEZ Pedro Sébastian | 59 |
| 47 | CAZA Rommel Andrés | 63 |
| 74 | NARVÁEZ Alexis David | 56 |