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 = -3 * weight + 259
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUG Andrus | 83 |
| 13 | BOŽIČ Borut | 70 |
| 16 | MARTENS Paul | 69 |
| 18 | MARIN Matej | 67 |
| 24 | CADAMURO Simone | 78 |
| 33 | ROGINA Radoslav | 70 |
| 48 | SCHRÖDER Björn | 64 |
| 51 | KVASINA Matija | 72 |
| 55 | LUPEIKIS Remigius | 80 |
| 56 | GAZVODA Gregor | 72 |
| 59 | ZAMANA Cezary | 74 |
| 62 | MAHORIČ Mitja | 68 |
| 80 | BONČA Valter | 63 |
| 85 | GALIŃSKI Marek | 63 |
| 96 | GOLČER Jure | 66.5 |
| 105 | MAASIKMETS Alges | 67 |
| 113 | NAGY Robert | 52 |