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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASSELIS Jules | 65 |
| 2 | DEVROYE Henri | 62 |
| 5 | HANLET Henri | 70 |
| 6 | PLATTEAU Eugène | 65 |
| 7 | LETURGIE Maurice | 69 |
| 8 | EVERAERTS Pierre | 66 |
| 9 | LAMBOT Firmin | 69 |
| 10 | DUPONT Albert | 68 |
| 11 | COOLSAET Louis | 73 |
| 15 | NEMPON Jules | 58 |
| 16 | HEUSGHEM Pierre-Joseph | 84 |
| 17 | DESMEDT Albert | 64 |