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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Cavagna
1
78 kgSchmid
2
70 kgPluimers
3
67 kgTesfatsion
5
60 kgScaroni
6
63 kgGabburo
7
63 kg
1
78 kgSchmid
2
70 kgPluimers
3
67 kgTesfatsion
5
60 kgScaroni
6
63 kgGabburo
7
63 kg
Weight (KG) →
Result →
78
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVAGNA Rémi | 78 |
| 2 | SCHMID Mauro | 70 |
| 3 | PLUIMERS Rick | 67 |
| 5 | TESFATSION Natnael | 60 |
| 6 | SCARONI Christian | 63 |
| 7 | GABBURO Davide | 63 |