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 = 2.4 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Rojas
2
58 kgCaicedo
15
62 kgHaas
34
60 kgBalykin
37
68 kgMuñoz
40
64 kgLachance
45
72 kg
2
58 kgCaicedo
15
62 kgHaas
34
60 kgBalykin
37
68 kgMuñoz
40
64 kgLachance
45
72 kg
Weight (KG) →
Result →
72
58
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 15 | CAICEDO Jonathan Klever | 62 |
| 34 | HAAS Christian | 60 |
| 37 | BALYKIN Ivan | 68 |
| 40 | MUÑOZ William David | 64 |
| 45 | LACHANCE Jean-Michel | 72 |