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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | GLAUS Gilbert | 67 |
3 | DUCLOS-LASSALLE Gilbert | 73 |
4 | FIGNON Laurent | 67 |
6 | DE WILDE Etienne | 70 |
9 | GAYANT Martial | 69 |
23 | VILAMAJO Jaime | 70 |
41 | MARTIN Raymond | 62 |
46 | BOURREAU Bernard | 63 |
53 | VAN DEN HOEK Aad | 77 |