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 = -1.5 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GLAUS Gilbert | 67 |
| 4 | DE WILDE Etienne | 70 |
| 8 | DUCLOS-LASSALLE Gilbert | 73 |
| 11 | BOURREAU Bernard | 63 |
| 18 | VAN DEN HOEK Aad | 77 |
| 24 | GAYANT Martial | 69 |
| 32 | FIGNON Laurent | 67 |
| 42 | VILAMAJO Jaime | 70 |
| 58 | MARTIN Raymond | 62 |