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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEUVILLE François | 80 |
| 4 | LOUVIOT Raymond | 62 |
| 10 | LEVEL Léon | 64 |
| 11 | MALLET Auguste | 53 |
| 16 | BERNARDONI Oreste | 65 |
| 18 | BONDUEL Frans | 74 |
| 20 | VLAEMYNCK Lucien | 63 |
| 24 | LOWIE Jules | 68 |
| 27 | MASSON JR Émile | 78 |