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 = 2.2 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Rojas
4
58 kgCaicedo
15
62 kgHaas
30
60 kgBalykin
31
68 kgLachance
44
72 kgMuñoz
49
64 kg
4
58 kgCaicedo
15
62 kgHaas
30
60 kgBalykin
31
68 kgLachance
44
72 kgMuñoz
49
64 kg
Weight (KG) →
Result →
72
58
4
49
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROJAS Juan Carlos | 58 |
| 15 | CAICEDO Jonathan Klever | 62 |
| 30 | HAAS Christian | 60 |
| 31 | BALYKIN Ivan | 68 |
| 44 | LACHANCE Jean-Michel | 72 |
| 49 | MUÑOZ William David | 64 |