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 = -1.8 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Smulders
6
51 kgGerritse
8
59 kgHayes
36
55 kgBritz
41
53 kgvan Bokhoven
42
51 kg
6
51 kgGerritse
8
59 kgHayes
36
55 kgBritz
41
53 kgvan Bokhoven
42
51 kg
Weight (KG) →
Result →
59
51
6
42
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SMULDERS Silke | 51 |
| 8 | GERRITSE Femke | 59 |
| 36 | HAYES Connie | 55 |
| 41 | BRITZ Azulde | 53 |
| 42 | VAN BOKHOVEN Julia | 51 |