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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Skalniak-Sójka
3
54 kgRissveds
4
55 kgMichiels
6
60 kgBrandt Heisel
7
52 kgGhekiere
13
52 kgSchweinberger
14
67 kg
3
54 kgRissveds
4
55 kgMichiels
6
60 kgBrandt Heisel
7
52 kgGhekiere
13
52 kgSchweinberger
14
67 kg
Weight (KG) →
Result →
67
52
3
14
# | Rider | Weight (KG) |
---|---|---|
3 | SKALNIAK-SÓJKA Agnieszka | 54 |
4 | RISSVEDS Jenny | 55 |
6 | MICHIELS Githa | 60 |
7 | BRANDT HEISEL Maja Winther | 52 |
13 | GHEKIERE Justine | 52 |
14 | SCHWEINBERGER Christina | 67 |