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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELUCCHI Matteo | 74 |
| 2 | DOWSETT Alex | 75 |
| 3 | DÉMARE Arnaud | 76 |
| 4 | GREIPEL André | 80 |
| 5 | BENNETT Sam | 73 |
| 6 | SAGAN Peter | 78 |
| 7 | MALACARNE Davide | 63 |
| 8 | APPOLLONIO Davide | 67 |
| 9 | FORTIN Filippo | 78 |
| 10 | MODOLO Sacha | 67 |
| 11 | TEKLEHAIMANOT Daniel | 70 |
| 12 | HUREL Tony | 66 |
| 13 | CANOLA Marco | 66 |
| 14 | SBARAGLI Kristian | 74 |
| 15 | DE LA CRUZ David | 66 |