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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ragonessi
2
67 kgSepulveda
4
66 kgGuamá
6
61 kgRodas
7
68 kgSarmiento
11
58 kgCastaño
16
66 kg
2
67 kgSepulveda
4
66 kgGuamá
6
61 kgRodas
7
68 kgSarmiento
11
58 kgCastaño
16
66 kg
Weight (KG) →
Result →
68
58
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAGONESSI José | 67 |
| 4 | SEPULVEDA Luis Fernando | 66 |
| 6 | GUAMÁ Byron | 61 |
| 7 | RODAS Manuel | 68 |
| 11 | SARMIENTO Cayetano José | 58 |
| 16 | CASTAÑO Erick | 66 |