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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Domínguez
2
67 kgDomínguez
3
64 kgHolm Sørensen
5
77 kgElliott
10
76 kg
2
67 kgDomínguez
3
64 kgHolm Sørensen
5
77 kgElliott
10
76 kg
Weight (KG) →
Result →
77
64
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOMÍNGUEZ Manuel Jorge | 67 |
| 3 | DOMÍNGUEZ Juan Carlos | 64 |
| 5 | HOLM SØRENSEN Brian | 77 |
| 10 | ELLIOTT Malcolm | 76 |