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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Boucher
3
78 kgRosseler
5
78 kgCozza
6
70 kgBaumann
7
72 kgLaurent
8
72 kg
3
78 kgRosseler
5
78 kgCozza
6
70 kgBaumann
7
72 kgLaurent
8
72 kg
Weight (KG) →
Result →
78
70
3
8
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOUCHER David | 78 |
| 5 | ROSSELER Sébastien | 78 |
| 6 | COZZA Steven | 70 |
| 7 | BAUMANN Eric | 72 |
| 8 | LAURENT Christophe | 72 |