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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Augé
1
65 kgVoigt
2
76 kgChavanel
3
73 kgKirsipuu
6
80 kgDurand
8
76 kgSchnider
10
65 kg
1
65 kgVoigt
2
76 kgChavanel
3
73 kgKirsipuu
6
80 kgDurand
8
76 kgSchnider
10
65 kg
Weight (KG) →
Result →
80
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGÉ Stéphane | 65 |
| 2 | VOIGT Jens | 76 |
| 3 | CHAVANEL Sylvain | 73 |
| 6 | KIRSIPUU Jaan | 80 |
| 8 | DURAND Jacky | 76 |
| 10 | SCHNIDER Daniel | 65 |