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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN GOOLEN Jurgen | 70 |
| 2 | DE WEERT Kevin | 70 |
| 3 | VAITKUS Tomas | 75 |
| 4 | GILBERT Philippe | 75 |
| 5 | SHPILEVSKY Boris | 78 |
| 6 | NUYENS Nick | 68 |
| 7 | BILEKA Volodymyr | 65 |
| 8 | BOONEN Tom | 82 |
| 9 | BODNAR Łukasz | 68 |
| 10 | COUTOULY Cédric | 72 |
| 11 | MCCARTY Jonathan Patrick | 68 |
| 20 | COENEN Johan | 67 |
| 22 | LISABETH Kenny | 75 |
| 25 | ANZÀ Santo | 58 |