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 = 1.6 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Rodríguez
5
58 kgMaya
14
58 kgOchoa
18
62 kgChacón
24
63 kgRangel
28
63 kgRaabe
31
71 kgAmador
36
73 kg
5
58 kgMaya
14
58 kgOchoa
18
62 kgChacón
24
63 kgRangel
28
63 kgRaabe
31
71 kgAmador
36
73 kg
Weight (KG) →
Result →
73
58
5
36
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | RODRÍGUEZ Jackson | 58 |
| 14 | MAYA Carlos Alberto | 58 |
| 18 | OCHOA Carlos José | 62 |
| 24 | CHACÓN José Isidro | 63 |
| 28 | RANGEL Hector Hugo | 63 |
| 31 | RAABE Henry | 71 |
| 36 | AMADOR Andrey | 73 |