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.
Kiesenhofer
1
54 kgSchweinberger
3
63 kgRijkes
5
57 kgSchweinberger
7
67 kgBadegruber
10
56 kgRitter
11
59 kg
1
54 kgSchweinberger
3
63 kgRijkes
5
57 kgSchweinberger
7
67 kgBadegruber
10
56 kgRitter
11
59 kg
Weight (KG) →
Result →
67
54
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIESENHOFER Anna | 54 |
| 3 | SCHWEINBERGER Kathrin | 63 |
| 5 | RIJKES Sarah | 57 |
| 7 | SCHWEINBERGER Christina | 67 |
| 10 | BADEGRUBER Anna | 56 |
| 11 | RITTER Martina | 59 |