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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AÏT EL ABDIA Anass | 66 |
| 3 | MANIZABAYO Eric | 72 |
| 4 | MARECZKO Jakub | 67 |
| 5 | BARBIER Pierre | 69 |
| 6 | STOSZ Patryk | 70 |
| 8 | ARVANITOU Nikiforos | 71 |
| 10 | SALEH Mohd Harrif | 70 |
| 11 | VANDENBOGAERDE Jens | 77 |
| 12 | ALMUTAIWEI Mohammad | 74 |
| 13 | BONIFAZIO Niccolò | 72 |
| 15 | PELEGRÍ Óscar | 63 |