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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Van den Broeck
1
69 kgGreipel
4
80 kgLisabeth
5
75 kgYates
15
73 kgDockx
20
64 kg
1
69 kgGreipel
4
80 kgLisabeth
5
75 kgYates
15
73 kgDockx
20
64 kg
Weight (KG) →
Result →
80
64
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BROECK Jurgen | 69 |
| 4 | GREIPEL André | 80 |
| 5 | LISABETH Kenny | 75 |
| 15 | YATES Jeremy | 73 |
| 20 | DOCKX Bart | 64 |