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 = -1.2 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Schweinberger
1
67 kgSkalniak-Sójka
2
54 kgRissveds
4
55 kgEklund
5
58 kgKarasiewicz
6
69 kgPikulik
14
54 kgVandenbulcke
15
60 kgLorenzen
22
71 kgMichiels
52
60 kgBravec
56
56 kgGhekiere
57
52 kgBrandt Heisel
63
52 kgPisciali
82
63 kgAbaidullina
86
52 kgvan Neck
92
63 kgGedraitytė
93
59 kg
1
67 kgSkalniak-Sójka
2
54 kgRissveds
4
55 kgEklund
5
58 kgKarasiewicz
6
69 kgPikulik
14
54 kgVandenbulcke
15
60 kgLorenzen
22
71 kgMichiels
52
60 kgBravec
56
56 kgGhekiere
57
52 kgBrandt Heisel
63
52 kgPisciali
82
63 kgAbaidullina
86
52 kgvan Neck
92
63 kgGedraitytė
93
59 kg
Weight (KG) →
Result →
71
52
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHWEINBERGER Christina | 67 |
| 2 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 4 | RISSVEDS Jenny | 55 |
| 5 | EKLUND Nathalie | 58 |
| 6 | KARASIEWICZ Karolina | 69 |
| 14 | PIKULIK Daria | 54 |
| 15 | VANDENBULCKE Jesse | 60 |
| 22 | LORENZEN Christina Bragh | 71 |
| 52 | MICHIELS Githa | 60 |
| 56 | BRAVEC Urška | 56 |
| 57 | GHEKIERE Justine | 52 |
| 63 | BRANDT HEISEL Maja Winther | 52 |
| 82 | PISCIALI Francesca | 63 |
| 86 | ABAIDULLINA Inna | 52 |
| 92 | VAN NECK Melissa | 63 |
| 93 | GEDRAITYTĖ Akvilė | 59 |