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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kopecky
1
66 kgWiebes
2
60 kgLach
4
59 kgSchweinberger
6
67 kgBastianelli
8
60 kg
1
66 kgWiebes
2
60 kgLach
4
59 kgSchweinberger
6
67 kgBastianelli
8
60 kg
Weight (KG) →
Result →
67
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | WIEBES Lorena | 60 |
| 4 | LACH Marta | 59 |
| 6 | SCHWEINBERGER Christina | 67 |
| 8 | BASTIANELLI Marta | 60 |