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 = -42.4 * weight + 3628
This means that on average for every extra kilogram weight a rider loses -42.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | VEENSTRA Wiebren | 70 |
4 | WESEMANN Steffen | 72 |
990 | MARIE Thierry | 68 |
990 | MADOUAS Laurent | 70 |
990 | MEIER Roland | 60 |
990 | DUFAUX Laurent | 60 |
990 | VIRENQUE Richard | 65 |
990 | ROBIN Jean-Cyril | 63 |
990 | HEPPNER Jens | 69 |
990 | BOURGUIGNON Thierry | 72 |