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 = -3.3 * weight + 261
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
Post
1
79 kgVan Daele
3
78 kgJanssen
6
76 kgForé
13
73 kgImpanis
30
69 kgCerami
33
72 kg
1
79 kgVan Daele
3
78 kgJanssen
6
76 kgForé
13
73 kgImpanis
30
69 kgCerami
33
72 kg
Weight (KG) →
Result →
79
69
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POST Peter | 79 |
| 3 | VAN DAELE Leon | 78 |
| 6 | JANSSEN Jan | 76 |
| 13 | FORÉ Noël | 73 |
| 30 | IMPANIS Raymond | 69 |
| 33 | CERAMI Pino | 72 |