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 = 2.7 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Guamá
1
61 kgRodas
5
68 kgSarmiento
6
58 kgCastaño
12
66 kgRagonessi
41
67 kgSepulveda
60
66 kg
1
61 kgRodas
5
68 kgSarmiento
6
58 kgCastaño
12
66 kgRagonessi
41
67 kgSepulveda
60
66 kg
Weight (KG) →
Result →
68
58
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 5 | RODAS Manuel | 68 |
| 6 | SARMIENTO Cayetano José | 58 |
| 12 | CASTAÑO Erick | 66 |
| 41 | RAGONESSI José | 67 |
| 60 | SEPULVEDA Luis Fernando | 66 |