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 = 0.6 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Guamá
3
61 kgVelasco
5
58 kgLachance
17
72 kgNarváez
25
56 kgCaza
30
63 kgCastaño
38
66 kg
3
61 kgVelasco
5
58 kgLachance
17
72 kgNarváez
25
56 kgCaza
30
63 kgCastaño
38
66 kg
Weight (KG) →
Result →
72
56
3
38
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 5 | VELASCO Henry | 58 |
| 17 | LACHANCE Jean-Michel | 72 |
| 25 | NARVÁEZ Alexis David | 56 |
| 30 | CAZA Rommel Andrés | 63 |
| 38 | CASTAÑO Erick | 66 |