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 = 0.5 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Maya
13
58 kgChacón
17
63 kgRangel
19
63 kgUbeto
21
60 kgRaabe
22
71 kgRodríguez
26
58 kgOchoa
28
62 kgAmador
31
73 kg
13
58 kgChacón
17
63 kgRangel
19
63 kgUbeto
21
60 kgRaabe
22
71 kgRodríguez
26
58 kgOchoa
28
62 kgAmador
31
73 kg
Weight (KG) →
Result →
73
58
13
31
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | MAYA Carlos Alberto | 58 |
| 17 | CHACÓN José Isidro | 63 |
| 19 | RANGEL Hector Hugo | 63 |
| 21 | UBETO Miguel Armando | 60 |
| 22 | RAABE Henry | 71 |
| 26 | RODRÍGUEZ Jackson | 58 |
| 28 | OCHOA Carlos José | 62 |
| 31 | AMADOR Andrey | 73 |