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 = -4.5 * weight + 278
This means that on average for every extra kilogram weight a rider loses -4.5 positions in the result.
Ludwig
3
55 kgBerteau
6
57 kgGerritse
13
59 kgGedraitytė
18
59 kgSmulders
36
51 kgvan Bokhoven
57
51 kgHayes
92
55 kg
3
55 kgBerteau
6
57 kgGerritse
13
59 kgGedraitytė
18
59 kgSmulders
36
51 kgvan Bokhoven
57
51 kgHayes
92
55 kg
Weight (KG) →
Result →
59
51
3
92
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LUDWIG Hannah | 55 |
| 6 | BERTEAU Victoire | 57 |
| 13 | GERRITSE Femke | 59 |
| 18 | GEDRAITYTĖ Akvilė | 59 |
| 36 | SMULDERS Silke | 51 |
| 57 | VAN BOKHOVEN Julia | 51 |
| 92 | HAYES Connie | 55 |