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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 4 | DERNIES Michel | 75 |
| 10 | SERGEANT Marc | 76 |
| 11 | YATES Sean | 74 |
| 12 | STENERSEN Bjørn | 70 |
| 15 | VAN DEN ABEELE Peter | 71 |
| 17 | BREUKINK Erik | 70 |
| 19 | BAUER Steve | 72 |
| 24 | ZAMANA Cezary | 74 |