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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTYBAR Zdeněk | 68 |
| 4 | VELITS Peter | 63 |
| 6 | BELKOV Maxim | 71 |
| 7 | CIEŚLIK Paweł | 65 |
| 9 | VELITS Martin | 70 |
| 13 | SINTSOV Anton | 62 |
| 19 | WYSS Danilo | 65 |
| 24 | WESTPHAL Carlo | 75 |
| 34 | BIESEK Szymon | 66 |