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 + 1
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
3
59 kgGuarischi
6
57 kgSchweinberger
10
67 kgBastianelli
11
60 kg
1
66 kgWiebes
2
60 kgLach
3
59 kgGuarischi
6
57 kgSchweinberger
10
67 kgBastianelli
11
60 kg
Weight (KG) →
Result →
67
57
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | WIEBES Lorena | 60 |
| 3 | LACH Marta | 59 |
| 6 | GUARISCHI Barbara | 57 |
| 10 | SCHWEINBERGER Christina | 67 |
| 11 | BASTIANELLI Marta | 60 |