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 = 2.5 * weight - 131
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Rojas
6
58 kgHaas
22
60 kgCaicedo
33
62 kgBalykin
36
68 kgMuñoz
47
64 kgLachance
49
72 kg
6
58 kgHaas
22
60 kgCaicedo
33
62 kgBalykin
36
68 kgMuñoz
47
64 kgLachance
49
72 kg
Weight (KG) →
Result →
72
58
6
49
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROJAS Juan Carlos | 58 |
| 22 | HAAS Christian | 60 |
| 33 | CAICEDO Jonathan Klever | 62 |
| 36 | BALYKIN Ivan | 68 |
| 47 | MUÑOZ William David | 64 |
| 49 | LACHANCE Jean-Michel | 72 |