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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEUNG King Lok | 59 |
| 2 | MEINTJES Louis | 58 |
| 6 | VAN ZYL Johann | 72 |
| 7 | FEDOSSEYEV Artur | 61.5 |
| 11 | SCOTSON Miles | 76 |
| 12 | PHOUNSAVATH Ariya | 67 |
| 13 | TOKUDA Tanzo | 67 |
| 16 | KERBY Jordan | 71 |
| 17 | KIM Ok Cheol | 70 |
| 18 | LUCHSHENKO Sergey | 63 |
| 21 | EDMONDSON Alex | 75 |
| 25 | DE MESMAEKER Kevin | 68 |