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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAEIDI TANHA Abbas | 70 |
| 2 | ĐURASEK Kristijan | 56 |
| 3 | ALIZADEH Hossein | 62 |
| 6 | FIRSANOV Sergey | 58 |
| 7 | LIU Biao | 67 |
| 8 | KVASINA Matija | 72 |
| 9 | FREIBERG Michael | 82 |
| 12 | GAZVODA Gregor | 72 |
| 13 | ROGINA Radoslav | 70 |
| 14 | VREČER Robert | 68 |
| 15 | SOHRABI Mehdi | 69 |
| 16 | GRUZDEV Dmitriy | 78 |
| 17 | MUGERLI Matej | 68 |
| 18 | SHUSHEMOIN Alexandr | 62 |
| 19 | SHPILEVSKY Boris | 78 |
| 21 | KUYCKX Jan | 68 |