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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 2 | HOWSON Damien | 68 |
| 3 | KUDUS Merhawi | 58 |
| 4 | VERONA Carlos | 68 |
| 5 | POLANC Jan | 62 |
| 6 | HAIG Jack | 67 |
| 7 | MARTIN Guillaume | 55 |
| 8 | MOHORIČ Matej | 71 |
| 9 | VERMEULEN Alexey | 66 |
| 10 | BAILLIFARD Valentin | 54 |
| 11 | BOHLI Tom | 71 |
| 12 | MARTINELLI Davide | 71 |
| 13 | BONIFAZIO Niccolò | 72 |
| 14 | THALMANN Roland | 61 |
| 15 | LAMMERTINK Steven | 68 |
| 16 | PAGE Dylan | 64 |
| 17 | PETERS Alex | 67 |