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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mauri
2
68 kgSkibby
3
70 kgPlanckaert
5
69 kgElliott
6
76 kgvan der Poel
7
70 kgDomínguez
8
67 kg
2
68 kgSkibby
3
70 kgPlanckaert
5
69 kgElliott
6
76 kgvan der Poel
7
70 kgDomínguez
8
67 kg
Weight (KG) →
Result →
76
67
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 3 | SKIBBY Jesper | 70 |
| 5 | PLANCKAERT Eddy | 69 |
| 6 | ELLIOTT Malcolm | 76 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | DOMÍNGUEZ Manuel Jorge | 67 |