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 = -4.2 * weight + 320
This means that on average for every extra kilogram weight a rider loses -4.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUX Christian | 74 |
| 2 | TRUSOV Nikolay | 77 |
| 3 | ŠTYBAR Zdeněk | 68 |
| 4 | IGNATIEV Mikhail | 67 |
| 6 | MARTIN Tony | 75 |
| 10 | SABATINI Fabio | 74 |
| 15 | KADRI Blel | 66 |
| 19 | AGNOLI Valerio | 72 |
| 37 | GRAF Andreas | 72 |
| 43 | DELAGE Mickaël | 70 |
| 70 | GESCHKE Simon | 64 |
| 87 | WYSS Marcel | 63 |