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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Sepulveda
1
66 kgGuamá
11
61 kgRodas
17
68 kgSarmiento
18
58 kgCastaño
29
66 kgRagonessi
39
67 kg
1
66 kgGuamá
11
61 kgRodas
17
68 kgSarmiento
18
58 kgCastaño
29
66 kgRagonessi
39
67 kg
Weight (KG) →
Result →
68
58
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEPULVEDA Luis Fernando | 66 |
| 11 | GUAMÁ Byron | 61 |
| 17 | RODAS Manuel | 68 |
| 18 | SARMIENTO Cayetano José | 58 |
| 29 | CASTAÑO Erick | 66 |
| 39 | RAGONESSI José | 67 |