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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POPOVYCH Yaroslav | 64 |
| 4 | DE WEERT Kevin | 70 |
| 6 | BILEKA Volodymyr | 65 |
| 8 | QUINZIATO Manuel | 74 |
| 12 | VAN GOOLEN Jurgen | 70 |
| 13 | SCARPONI Michele | 62 |
| 14 | ANZÀ Santo | 58 |
| 18 | GERRANS Simon | 62 |
| 19 | HERVÉ Cédric | 60 |
| 21 | ALBASINI Michael | 65 |
| 22 | TALABARDON Yannick | 67 |
| 23 | HARY Maryan | 68 |