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 + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Küng
1
83 kgChavanne
3
83 kgBohli
5
71 kgPellaud
9
70 kgSuter
10
70 kg
1
83 kgChavanne
3
83 kgBohli
5
71 kgPellaud
9
70 kgSuter
10
70 kg
Weight (KG) →
Result →
83
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÜNG Stefan | 83 |
| 3 | CHAVANNE Gabriel | 83 |
| 5 | BOHLI Tom | 71 |
| 9 | PELLAUD Simon | 70 |
| 10 | SUTER Gaël | 70 |