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 = 0.9 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINTO Edgar | 58 |
| 2 | CHAOUFI Tarik | 65 |
| 3 | OKUBAMARIAM Tesfom | 60 |
| 5 | SEELDRAEYERS Kevin | 60 |
| 6 | RAGONESSI José | 67 |
| 7 | ÖRKEN Ahmet | 69 |
| 9 | VAUBOURZEIX Thomas | 70 |
| 12 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 14 | GUSEV Vladimir | 67 |
| 16 | AÏT EL ABDIA Anass | 66 |
| 20 | CAMMAERTS Edwig | 74 |
| 21 | JULES Justin | 64 |