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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Chavanne
1
83 kgKüng
4
83 kgLienhard
6
73 kgPellaud
9
70 kgStüssi
12
68 kgSuter
18
70 kg
1
83 kgKüng
4
83 kgLienhard
6
73 kgPellaud
9
70 kgStüssi
12
68 kgSuter
18
70 kg
Weight (KG) →
Result →
83
68
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAVANNE Gabriel | 83 |
| 4 | KÜNG Stefan | 83 |
| 6 | LIENHARD Fabian | 73 |
| 9 | PELLAUD Simon | 70 |
| 12 | STÜSSI Colin | 68 |
| 18 | SUTER Gaël | 70 |