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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORABITO Steve | 74 |
| 2 | SCHELLING Patrick | 61 |
| 3 | SCHÄR Michael | 78 |
| 4 | FRANK Mathias | 64 |
| 5 | LIENHARD Fabian | 73 |
| 6 | STÜSSI Colin | 68 |
| 7 | REICHENBACH Sébastien | 64 |
| 8 | DILLIER Silvan | 75 |
| 9 | RAPPO Anthony | 63 |
| 12 | HOLLENSTEIN Reto | 80 |
| 13 | KÜNG Stefan | 83 |
| 14 | FRANKINY Kilian | 67 |
| 16 | BANZER Gordian | 56 |
| 18 | RAST Grégory | 80 |
| 20 | PELLAUD Simon | 70 |
| 23 | DEBONS Antoine | 65 |
| 25 | WILDHABER Marcel | 65 |