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 = 0.8 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIPPER Jacob | 78 |
| 2 | HASNAOUI Maher | 80 |
| 3 | KERS Koos Jeroen | 71 |
| 4 | PALINI Andrea | 67 |
| 6 | MANSOURI Abderrahmane | 66 |
| 7 | WACKER Eugen | 65 |
| 9 | ZAKHAROV Artyom | 70 |
| 12 | JOVANOVIĆ Nebojša | 60 |
| 13 | PANASSENKO Nikita | 69 |
| 17 | GUTIERREZ José Manuel | 63 |
| 26 | ARIYAN Behnam | 70 |
| 33 | JAWAD Mansoor | 58 |
| 42 | ORR Robert | 74 |
| 54 | ALBALOOSHI SHAMBI Mansoor | 79 |
| 62 | TANFIELD Charlie | 80 |