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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kragh Andersen
1
73 kgDuval
2
68 kgGonzález
4
63 kgVdovin
5
62.5 kgCalleeuw
6
71 kgBille
8
67 kgEdmondson
9
75 kg
1
73 kgDuval
2
68 kgGonzález
4
63 kgVdovin
5
62.5 kgCalleeuw
6
71 kgBille
8
67 kgEdmondson
9
75 kg
Weight (KG) →
Result →
75
62.5
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRAGH ANDERSEN Søren | 73 |
| 2 | DUVAL Julien | 68 |
| 4 | GONZÁLEZ Adrián | 63 |
| 5 | VDOVIN Sergey | 62.5 |
| 6 | CALLEEUW Joeri | 71 |
| 8 | BILLE Gaëtan | 67 |
| 9 | EDMONDSON Alex | 75 |