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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gigante
3
53 kgEdwards
4
59 kgKröger
6
77 kgBerton
9
59 kgKraak
11
52 kgDronova-Balabolina
12
63 kgMajerus
14
56 kg
3
53 kgEdwards
4
59 kgKröger
6
77 kgBerton
9
59 kgKraak
11
52 kgDronova-Balabolina
12
63 kgMajerus
14
56 kg
Weight (KG) →
Result →
77
52
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GIGANTE Sarah | 53 |
| 4 | EDWARDS Ruth | 59 |
| 6 | KRÖGER Mieke | 77 |
| 9 | BERTON Nina | 59 |
| 11 | KRAAK Amber | 52 |
| 12 | DRONOVA-BALABOLINA Tamara | 63 |
| 14 | MAJERUS Christine | 56 |