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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DIERCKXSENS Ludo | 71 |
| 6 | VIERHOUTEN Aart | 71 |
| 7 | DE CLERCQ Hans | 80 |
| 8 | KNAVEN Servais | 68 |
| 9 | VAN BONDT Geert | 71 |
| 10 | VAN HEESWIJK Max | 73 |
| 14 | OMLOOP Geert | 78 |
| 15 | DE JONGH Steven | 76 |
| 19 | GILMORE Matthew | 67 |
| 24 | MIFUNE Masahiko | 70 |
| 25 | VAN LANCKER Kurt | 67 |