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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYAZBAYEV Maxat | 75 |
| 2 | SHIMIZU Miyataka | 60 |
| 3 | OCHOA Diego Antonio | 61 |
| 4 | TEYCHENNE Mathieu | 68 |
| 5 | PARRA Heiner Rodrigo | 51 |
| 6 | WERDA Maximilian | 66 |
| 8 | PFINGSTEN Christoph | 69 |
| 9 | PEREZ Anthony | 70 |
| 11 | NAULEAU Bryan | 67 |
| 13 | CAMPENAERTS Victor | 68 |
| 15 | KOZHATAYEV Bakhtiyar | 62 |
| 17 | BERHANE Natnael | 66 |
| 18 | KIRSCH Alex | 78 |
| 22 | MAGER Christian | 60 |