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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gerritse
3
59 kgSmulders
8
51 kgLewis
9
67 kgvan Bokhoven
17
51 kgDe Wilde
19
62 kg
3
59 kgSmulders
8
51 kgLewis
9
67 kgvan Bokhoven
17
51 kgDe Wilde
19
62 kg
Weight (KG) →
Result →
67
51
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GERRITSE Femke | 59 |
| 8 | SMULDERS Silke | 51 |
| 9 | LEWIS Sophie | 67 |
| 17 | VAN BOKHOVEN Julia | 51 |
| 19 | DE WILDE Julie | 62 |