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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCARTY Jonathan Patrick | 68 |
| 3 | MCCARTNEY Jason | 70 |
| 4 | MANCEBO Francisco | 64 |
| 6 | DE MAAR Marc | 70 |
| 9 | WOODS Michael | 62 |
| 10 | BUTLER Chris | 61 |
| 12 | ROSSKOPF Joey | 74 |
| 13 | BROWN Nathan | 65 |
| 14 | LEWIS Craig | 65 |
| 15 | CARLSEN Kirk | 68 |
| 16 | EUSER Lucas | 56 |
| 17 | DAY Benjamin | 68 |
| 18 | DEIGNAN Philip | 65 |
| 19 | MEIER Christian | 61 |
| 20 | MEGÍAS Javier | 63 |
| 23 | FRATTINI Davide | 63 |
| 25 | CLARKE Jonathan | 68 |