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 - 87
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | DE WILDE Etienne | 70 |
| 12 | BOURREAU Bernard | 63 |
| 15 | GLAUS Gilbert | 67 |
| 16 | FIGNON Laurent | 67 |
| 18 | GAYANT Martial | 69 |
| 30 | MARTIN Raymond | 62 |
| 48 | VILAMAJO Jaime | 70 |
| 62 | VAN DEN HOEK Aad | 77 |