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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | JONKER Patrick | 69 |
| 7 | BREUKINK Erik | 70 |
| 8 | KNAVEN Servais | 68 |
| 11 | VAN DER POEL Adrie | 70 |
| 13 | BOOGERD Michael | 62 |
| 14 | DEN BAKKER Maarten | 71 |
| 15 | VEENSTRA Wiebren | 70 |
| 23 | VOSKAMP Bart | 75 |