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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ritter
1
59 kgKiesenhofer
2
54 kgRijkes
8
57 kgSchweinberger
12
63 kgSchweinberger
17
67 kgBadegruber
19
56 kg
1
59 kgKiesenhofer
2
54 kgRijkes
8
57 kgSchweinberger
12
63 kgSchweinberger
17
67 kgBadegruber
19
56 kg
Weight (KG) →
Result →
67
54
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RITTER Martina | 59 |
| 2 | KIESENHOFER Anna | 54 |
| 8 | RIJKES Sarah | 57 |
| 12 | SCHWEINBERGER Kathrin | 63 |
| 17 | SCHWEINBERGER Christina | 67 |
| 19 | BADEGRUBER Anna | 56 |