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 + 140
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KARSTENS Gerben | 74 |
| 7 | VAN DEN HOEK Aad | 77 |
| 9 | VAN VLIET Leo | 65 |
| 14 | DUCLOS-LASSALLE Gilbert | 73 |
| 29 | HOSTE Frank | 76 |
| 33 | ROSIERS Roger | 78 |
| 35 | KELLY Sean | 77 |
| 43 | OVION Régis | 64 |
| 56 | HINAULT Bernard | 62 |
| 57 | SCHEPERS Eddy | 60 |