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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÜNG Stefan | 83 |
| 2 | WYSS Danilo | 65 |
| 3 | PELLAUD Simon | 70 |
| 4 | JACOBS Johan | 78 |
| 5 | LIENHARD Fabian | 73 |
| 6 | REUTIMANN Matthias | 71 |
| 7 | SCHELLING Patrick | 61 |
| 8 | THALMANN Roland | 61 |
| 9 | VOISARD Yannis | 56 |
| 10 | RÜEGG Lukas | 66 |
| 11 | REICHENBACH Sébastien | 64 |
| 13 | FRANKINY Kilian | 67 |
| 15 | BISSEGGER Stefan | 78 |
| 16 | BRUN Nils | 64 |
| 17 | GACHET Guillaume | 61 |
| 25 | BACHMANN Laurin | 69 |
| 33 | STEINACHER Cyrill | 72 |