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 + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Stefano | 80 |
| 2 | ZABEL Erik | 69 |
| 5 | VIRENQUE Richard | 65 |
| 6 | ZÜLLE Alex | 72 |
| 7 | OLANO Abraham | 70 |
| 8 | FRATTINI Francesco | 60 |
| 9 | VAN HEESWIJK Max | 73 |
| 10 | MCEWEN Robbie | 67 |
| 11 | JULICH Bobby | 68 |
| 12 | BLAUDZUN Michael | 66 |
| 14 | TETERIOUK Andrei | 72 |
| 17 | DUFAUX Laurent | 60 |
| 18 | ODRIOZOLA Jon | 70 |
| 19 | NOÈ Andrea | 65 |