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 = 1.2 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Chacón
3
63 kgOchoa
5
62 kgGálviz
16
65 kgUbeto
23
60 kgSerpa
24
64 kgMaya
31
58 kgRodas
38
68 kgSepulveda
39
66 kg
3
63 kgOchoa
5
62 kgGálviz
16
65 kgUbeto
23
60 kgSerpa
24
64 kgMaya
31
58 kgRodas
38
68 kgSepulveda
39
66 kg
Weight (KG) →
Result →
68
58
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHACÓN José Isidro | 63 |
| 5 | OCHOA Carlos José | 62 |
| 16 | GÁLVIZ Carlos Johan | 65 |
| 23 | UBETO Miguel Armando | 60 |
| 24 | SERPA José Rodolfo | 64 |
| 31 | MAYA Carlos Alberto | 58 |
| 38 | RODAS Manuel | 68 |
| 39 | SEPULVEDA Luis Fernando | 66 |