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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERDYCK August | 78 |
| 2 | PÉ Joseph | 68 |
| 3 | BIDOT Marcel | 78 |
| 4 | DEJONGHE Albert | 81 |
| 5 | BENOÎT Adelin | 72 |
| 6 | VAN DE CASTEELE Camille | 79 |
| 7 | DOSSCHE Aimé | 75 |
| 8 | MOTTIAT Louis | 65 |
| 9 | MATTON Jules | 73 |
| 12 | CHRISTOPHE Eugène | 67 |
| 21 | DETREILLE Georges | 70 |