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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Moreno
3
52 kgFernandes
10
54 kgRagazinskiene
13
58 kgSharakova
15
52 kgFerrier-Bruneau
18
53 kg
3
52 kgFernandes
10
54 kgRagazinskiene
13
58 kgSharakova
15
52 kgFerrier-Bruneau
18
53 kg
Weight (KG) →
Result →
58
52
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MORENO María Isabel | 52 |
| 10 | FERNANDES Clemilda | 54 |
| 13 | RAGAZINSKIENE Daiva | 58 |
| 15 | SHARAKOVA Tatsiana | 52 |
| 18 | FERRIER-BRUNEAU Christel | 53 |