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 = -0.9 * weight + 92
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE JONGE Maarten | 65 |
| 6 | MOURIS Jens | 91 |
| 8 | DELFOSSE Sébastien | 73 |
| 17 | STEURS Geert | 77 |
| 34 | IGLINSKIY Valentin | 68 |
| 36 | SCHULTING Peter | 70 |
| 39 | BRAMMEIER Matt | 72 |
| 45 | HOOGERLAND Johnny | 65 |