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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dillier
1
75 kgSchelling
2
61 kgChavanne
3
83 kgKüng
4
83 kgThièry
5
67 kgStüssi
18
68 kgJaun
21
66 kgSuter
22
70 kg
1
75 kgSchelling
2
61 kgChavanne
3
83 kgKüng
4
83 kgThièry
5
67 kgStüssi
18
68 kgJaun
21
66 kgSuter
22
70 kg
Weight (KG) →
Result →
83
61
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 2 | SCHELLING Patrick | 61 |
| 3 | CHAVANNE Gabriel | 83 |
| 4 | KÜNG Stefan | 83 |
| 5 | THIÈRY Cyrille | 67 |
| 18 | STÜSSI Colin | 68 |
| 21 | JAUN Lukas | 66 |
| 22 | SUTER Gaël | 70 |