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 - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARRIGOU Gustave | 66 |
| 2 | PLATTEAU Eugène | 65 |
| 3 | GEORGET Émile | 69 |
| 4 | MASSELIS Jules | 65 |
| 5 | PETIT-BRETON Lucien | 69 |
| 6 | BROCCO Maurice | 64 |
| 7 | DUPONT Albert | 68 |
| 8 | CORNET Henri | 69 |
| 10 | CATTEAU Aloïs | 84 |
| 11 | BLAISE André | 72 |
| 15 | DHULST Vincent | 72 |
| 16 | BEYENS Jules | 71 |
| 18 | PAULMIER Georges | 69 |