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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lezaun
4
65 kgPieters
5
82 kgPagnin
6
74 kgVanderaerden
7
74 kgDomínguez
9
67 kg
4
65 kgPieters
5
82 kgPagnin
6
74 kgVanderaerden
7
74 kgDomínguez
9
67 kg
Weight (KG) →
Result →
82
65
4
9
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LEZAUN Roberto | 65 |
| 5 | PIETERS Peter | 82 |
| 6 | PAGNIN Roberto | 74 |
| 7 | VANDERAERDEN Eric | 74 |
| 9 | DOMÍNGUEZ Manuel Jorge | 67 |