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 = 0.7 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ochoa
15
62 kgMaya
17
58 kgChacón
20
63 kgRangel
23
63 kgUbeto
24
60 kgRaabe
28
71 kgRodríguez
30
58 kgAmador
35
73 kg
15
62 kgMaya
17
58 kgChacón
20
63 kgRangel
23
63 kgUbeto
24
60 kgRaabe
28
71 kgRodríguez
30
58 kgAmador
35
73 kg
Weight (KG) →
Result →
73
58
15
35
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | OCHOA Carlos José | 62 |
| 17 | MAYA Carlos Alberto | 58 |
| 20 | CHACÓN José Isidro | 63 |
| 23 | RANGEL Hector Hugo | 63 |
| 24 | UBETO Miguel Armando | 60 |
| 28 | RAABE Henry | 71 |
| 30 | RODRÍGUEZ Jackson | 58 |
| 35 | AMADOR Andrey | 73 |