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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMAS Geraint | 71 |
| 2 | TENNANT Andrew | 82 |
| 3 | TIMMER Albert | 77 |
| 4 | BODNAR Maciej | 77 |
| 5 | MOLLEMA Bauke | 64 |
| 6 | GASTAUER Ben | 73 |
| 11 | POELS Wout | 66 |
| 14 | VINTHER Troels Rønning | 68 |
| 18 | SWIFT Ben | 69 |