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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lichtenberg
2
52 kgHenrion
4
60 kgFernandes
5
54 kgVos
6
58 kgSlappendel
9
67 kg
2
52 kgHenrion
4
60 kgFernandes
5
54 kgVos
6
58 kgSlappendel
9
67 kg
Weight (KG) →
Result →
67
52
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LICHTENBERG Claudia | 52 |
| 4 | HENRION Ludivine | 60 |
| 5 | FERNANDES Clemilda | 54 |
| 6 | VOS Marianne | 58 |
| 9 | SLAPPENDEL Iris | 67 |