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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bohli
2
71 kgLienhard
3
73 kgSpengler
4
78 kgChavanne
5
83 kgThalmann
19
61 kg
2
71 kgLienhard
3
73 kgSpengler
4
78 kgChavanne
5
83 kgThalmann
19
61 kg
Weight (KG) →
Result →
83
61
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOHLI Tom | 71 |
| 3 | LIENHARD Fabian | 73 |
| 4 | SPENGLER Lukas | 78 |
| 5 | CHAVANNE Gabriel | 83 |
| 19 | THALMANN Roland | 61 |