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 = 2.6 * weight - 125
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Rojas
3
58 kgHaas
24
60 kgBalykin
41
68 kgLachance
55
72 kgMuñoz
66
64 kgCaicedo
67
62 kg
3
58 kgHaas
24
60 kgBalykin
41
68 kgLachance
55
72 kgMuñoz
66
64 kgCaicedo
67
62 kg
Weight (KG) →
Result →
72
58
3
67
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROJAS Juan Carlos | 58 |
| 24 | HAAS Christian | 60 |
| 41 | BALYKIN Ivan | 68 |
| 55 | LACHANCE Jean-Michel | 72 |
| 66 | MUÑOZ William David | 64 |
| 67 | CAICEDO Jonathan Klever | 62 |