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 = 0.6 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LOWIE Jules | 68 |
| 6 | BONDUEL Frans | 74 |
| 6 | VIETTO René | 67 |
| 6 | MALLET Auguste | 53 |
| 26 | COGAN Pierre | 68 |
| 27 | MASSON JR Émile | 78 |
| 32 | VLAEMYNCK Lucien | 63 |
| 41 | LEVEL Léon | 64 |
| 42 | BERNARDONI Oreste | 65 |
| 42 | LOUVIOT Raymond | 62 |
| 50 | GOASMAT Jean-Marie | 60 |
| 52 | VAN SCHENDEL Antoon | 82 |
| 54 | NEUVILLE François | 80 |