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 + 70
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GLAUS Gilbert | 67 |
| 3 | DE WILDE Etienne | 70 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 25 | BOURREAU Bernard | 63 |
| 30 | FIGNON Laurent | 67 |
| 35 | GAYANT Martial | 69 |
| 47 | VILAMAJO Jaime | 70 |
| 48 | VAN DEN HOEK Aad | 77 |
| 65 | MARTIN Raymond | 62 |