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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Maya
13
58 kgRodríguez
16
58 kgOchoa
18
62 kgChacón
21
63 kgRangel
25
63 kgRaabe
28
71 kgAmador
33
73 kg
13
58 kgRodríguez
16
58 kgOchoa
18
62 kgChacón
21
63 kgRangel
25
63 kgRaabe
28
71 kgAmador
33
73 kg
Weight (KG) →
Result →
73
58
13
33
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | MAYA Carlos Alberto | 58 |
| 16 | RODRÍGUEZ Jackson | 58 |
| 18 | OCHOA Carlos José | 62 |
| 21 | CHACÓN José Isidro | 63 |
| 25 | RANGEL Hector Hugo | 63 |
| 28 | RAABE Henry | 71 |
| 33 | AMADOR Andrey | 73 |