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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | PONZI Simone | 63 |
| 3 | DÉMARE Arnaud | 76 |
| 4 | RENSHAW Mark | 74 |
| 5 | HOWSON Damien | 68 |
| 6 | FERRARI Roberto | 73 |
| 7 | KERBY Jordan | 71 |
| 8 | ROJAS José Joaquín | 70 |
| 9 | PIETROPOLLI Daniele | 61 |
| 10 | BOASSON HAGEN Edvald | 75 |
| 11 | DEMPSTER Zak | 77 |
| 12 | GERRANS Simon | 62 |
| 13 | GILBERT Philippe | 75 |
| 14 | DE GENDT Thomas | 73 |
| 15 | PINEAU Jérôme | 65 |