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 - 130
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Rojas
1
58 kgCaicedo
32
62 kgBalykin
39
68 kgMuñoz
49
64 kgHaas
50
60 kgLachance
59
72 kg
1
58 kgCaicedo
32
62 kgBalykin
39
68 kgMuñoz
49
64 kgHaas
50
60 kgLachance
59
72 kg
Weight (KG) →
Result →
72
58
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 32 | CAICEDO Jonathan Klever | 62 |
| 39 | BALYKIN Ivan | 68 |
| 49 | MUÑOZ William David | 64 |
| 50 | HAAS Christian | 60 |
| 59 | LACHANCE Jean-Michel | 72 |