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 = 1.6 * weight - 103
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUVIOT Raymond | 62 |
| 2 | FAVÉ François | 72 |
| 3 | MAES Romain | 68 |
| 5 | LE GOFF Yves | 68 |
| 6 | MAES Sylvère | 70 |
| 7 | SALAZARD Vincent | 74 |
| 8 | LE DROGO Paul | 69 |
| 11 | GARNIER Henri | 74 |
| 16 | BONDUEL Frans | 74 |
| 17 | VAN RYSSELBERGHE Bernard | 78 |
| 18 | WAUTERS Jean | 72 |
| 23 | BISSERON Roger | 80 |
| 24 | JOLY Émile | 75 |
| 28 | LE DROGO Ferdinand | 80 |
| 29 | CLOAREC Pierre | 78 |