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 = 0.9 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Guamá
1
61 kgSepulveda
2
66 kgSarmiento
3
58 kgRodas
4
68 kgRagonessi
7
67 kgCastaño
31
66 kg
1
61 kgSepulveda
2
66 kgSarmiento
3
58 kgRodas
4
68 kgRagonessi
7
67 kgCastaño
31
66 kg
Weight (KG) →
Result →
68
58
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | SEPULVEDA Luis Fernando | 66 |
| 3 | SARMIENTO Cayetano José | 58 |
| 4 | RODAS Manuel | 68 |
| 7 | RAGONESSI José | 67 |
| 31 | CASTAÑO Erick | 66 |