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 = -0.6 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Schweinberger
1
63 kgMustonen
2
58 kgVollering
5
57 kgKasenova
11
52 kgBačíková
14
60 kg
1
63 kgMustonen
2
58 kgVollering
5
57 kgKasenova
11
52 kgBačíková
14
60 kg
Weight (KG) →
Result →
63
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHWEINBERGER Kathrin | 63 |
| 2 | MUSTONEN Sara | 58 |
| 5 | VOLLERING Demi | 57 |
| 11 | KASENOVA Karina | 52 |
| 14 | BAČÍKOVÁ Alžbeta | 60 |