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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Raboň
2
74 kgHaussler
3
74 kgFothen
4
71 kgFailli
5
65 kgScognamiglio
6
67 kgVisconti
8
63 kgVan den Broeck
9
69 kg
2
74 kgHaussler
3
74 kgFothen
4
71 kgFailli
5
65 kgScognamiglio
6
67 kgVisconti
8
63 kgVan den Broeck
9
69 kg
Weight (KG) →
Result →
74
63
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RABOŇ František | 74 |
| 3 | HAUSSLER Heinrich | 74 |
| 4 | FOTHEN Thomas | 71 |
| 5 | FAILLI Francesco | 65 |
| 6 | SCOGNAMIGLIO Carlo | 67 |
| 8 | VISCONTI Giovanni | 63 |
| 9 | VAN DEN BROECK Jurgen | 69 |