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 = -2.4 * weight + 174
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Berteau
1
57 kgLudwig
9
55 kgGerritse
20
59 kgvan Bokhoven
39
51 kgGedraitytė
58
59 kgSmulders
60
51 kgHayes
97
55 kg
1
57 kgLudwig
9
55 kgGerritse
20
59 kgvan Bokhoven
39
51 kgGedraitytė
58
59 kgSmulders
60
51 kgHayes
97
55 kg
Weight (KG) →
Result →
59
51
1
97
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTEAU Victoire | 57 |
| 9 | LUDWIG Hannah | 55 |
| 20 | GERRITSE Femke | 59 |
| 39 | VAN BOKHOVEN Julia | 51 |
| 58 | GEDRAITYTĖ Akvilė | 59 |
| 60 | SMULDERS Silke | 51 |
| 97 | HAYES Connie | 55 |