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 = -1.9 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Balykin
6
68 kgCaicedo
14
62 kgLachance
15
72 kgMuñoz
17
64 kgHaas
33
60 kgRojas
40
58 kg
6
68 kgCaicedo
14
62 kgLachance
15
72 kgMuñoz
17
64 kgHaas
33
60 kgRojas
40
58 kg
Weight (KG) →
Result →
72
58
6
40
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BALYKIN Ivan | 68 |
| 14 | CAICEDO Jonathan Klever | 62 |
| 15 | LACHANCE Jean-Michel | 72 |
| 17 | MUÑOZ William David | 64 |
| 33 | HAAS Christian | 60 |
| 40 | ROJAS Juan Carlos | 58 |