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 = 1.7 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Guamá
1
61 kgRodas
6
68 kgSarmiento
7
58 kgCastaño
9
66 kgRagonessi
22
67 kgSepulveda
49
66 kg
1
61 kgRodas
6
68 kgSarmiento
7
58 kgCastaño
9
66 kgRagonessi
22
67 kgSepulveda
49
66 kg
Weight (KG) →
Result →
68
58
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 6 | RODAS Manuel | 68 |
| 7 | SARMIENTO Cayetano José | 58 |
| 9 | CASTAÑO Erick | 66 |
| 22 | RAGONESSI José | 67 |
| 49 | SEPULVEDA Luis Fernando | 66 |