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 = 1.7 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | OVION Régis | 64 |
| 13 | VAN VLIET Leo | 65 |
| 16 | BITTINGER René | 69 |
| 18 | DUCLOS-LASSALLE Gilbert | 73 |
| 19 | DIDIER Lucien | 67 |
| 23 | KELLY Sean | 77 |
| 31 | MARCUSSEN Jørgen | 70 |
| 49 | DEN HERTOG Fedor | 76 |