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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAOLINI Luca | 66 |
| 3 | MORIN Anthony | 79 |
| 4 | AUGER Guillaume | 78 |
| 5 | DESSEL Cyril | 63 |
| 6 | AUGER Ludovic | 78 |
| 8 | BALČIŪNAS Linas | 90 |
| 10 | PENCOLÉ Franck | 74 |
| 12 | CASPER Jimmy | 69 |
| 13 | SWEET Jay | 69 |
| 14 | FLAMMANG Tom | 80 |
| 15 | FÉDRIGO Pierrick | 66 |
| 18 | MOOS Alexandre | 64 |
| 20 | MARKOV Alexei | 80 |