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 = 0.5 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 2 | MÄDER Gino | 61 |
| 4 | HIRSCHI Marc | 61 |
| 6 | SUTER Joel | 75 |
| 12 | SCHMID Mauro | 70 |
| 14 | FROIDEVAUX Robin | 71 |
| 17 | DEBONS Antoine | 65 |
| 19 | VOISARD Yannis | 56 |
| 27 | BACHMANN Laurin | 69 |
| 28 | VOGEL Alex | 80 |
| 32 | ZWEIFEL Valentin | 84 |