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 = -2.3 * weight + 216
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ADAMSSON Stefan | 68 |
| 5 | KORINEK Radim | 69 |
| 17 | KONDIS Ľuboš | 75 |
| 43 | GATES Nick | 71 |
| 49 | LJUNGBLAD Jonas | 70 |
| 55 | PFANNBERGER Christian | 63 |
| 57 | EL NADI Amer | 74 |
| 80 | KHOLAFY Mohamed | 63 |
| 86 | ABASS Mahmoud | 65 |
| 91 | BAK Lars Ytting | 76 |
| 102 | BONČA Valter | 63 |
| 116 | O'LOUGHLIN David | 68 |