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 = 0.5 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN VLIET Leo | 65 |
| 10 | RAAS Jan | 72 |
| 12 | PLANCKAERT Eddy | 69 |
| 15 | DUCLOS-LASSALLE Gilbert | 73 |
| 25 | DE WILDE Etienne | 70 |
| 32 | BOURREAU Bernard | 63 |
| 39 | MADIOT Marc | 68 |
| 41 | PRIEM Cees | 75 |