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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASSON Émile | 77 |
| 3 | HEUSGHEM Hector | 86 |
| 4 | SCIEUR Léon | 78 |
| 5 | MOTTIAT Louis | 65 |
| 6 | FABER François | 89 |
| 7 | COOMANS Jacques | 62 |
| 8 | CHRISTOPHE Eugène | 67 |
| 9 | HOSTEIN Paul | 73 |
| 10 | PAUL Ernest | 77 |
| 11 | MASSELIS Jules | 65 |
| 13 | EVERAERTS Pierre | 66 |
| 15 | VAN DEN BERGHE René | 65 |
| 16 | BUYSSE Marcel | 72 |
| 17 | D'HAEN François | 61 |
| 18 | FIGUET Gabriel | 65 |
| 19 | LELIAERT Maurice | 79 |
| 20 | HARQUET Raymond | 75 |