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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THALMANN Roland | 61 |
| 2 | VAN EETVELT Lennert | 63 |
| 3 | GLOAG Thomas | 60 |
| 4 | THOMPSON Reuben | 66 |
| 5 | PICKERING Finlay | 55 |
| 6 | BOVEN Lars | 62 |
| 8 | MEILER Lukas | 65 |
| 9 | MORENO Iván | 56 |
| 10 | BOROŠ Michael | 69 |
| 11 | NEUMAN Dominik | 72 |
| 12 | SWEECK Laurens | 71 |
| 13 | DINHAM Matthew | 63 |
| 15 | PETER Jannis | 63 |