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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS José Joaquín | 70 |
| 2 | BOONEN Tom | 82 |
| 3 | DÉMARE Arnaud | 76 |
| 4 | SAGAN Peter | 78 |
| 5 | BENNETT Sam | 73 |
| 6 | STUYVEN Jasper | 78 |
| 7 | ARNDT Nikias | 77.5 |
| 8 | HAUSSLER Heinrich | 74 |
| 9 | SALOMEIN Jarl | 80 |
| 10 | GUARDINI Andrea | 66 |
| 11 | TERPSTRA Niki | 75 |
| 12 | KRISTOFF Alexander | 78 |
| 13 | STERBINI Luca | 72 |
| 14 | FERRARI Roberto | 73 |
| 15 | BOUHANNI Nacer | 65 |