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 = 0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Balykin
4
68 kgMuñoz
6
64 kgRojas
14
58 kgHaas
22
60 kgLachance
31
72 kgCaicedo
39
62 kg
4
68 kgMuñoz
6
64 kgRojas
14
58 kgHaas
22
60 kgLachance
31
72 kgCaicedo
39
62 kg
Weight (KG) →
Result →
72
58
4
39
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BALYKIN Ivan | 68 |
| 6 | MUÑOZ William David | 64 |
| 14 | ROJAS Juan Carlos | 58 |
| 22 | HAAS Christian | 60 |
| 31 | LACHANCE Jean-Michel | 72 |
| 39 | CAICEDO Jonathan Klever | 62 |