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 - 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Pankova
1
52 kgNilsson
3
58 kgLechner
5
52 kgKoedooder
7
69 kgBatagelj
9
53 kgArzuffi
12
52 kgVysotska
13
55 kgRitter
16
59 kgPavlukhina
17
68 kgSandig
20
62 kgStultiens
22
58 kgPintar
27
56 kgKessler
33
60 kgWild
41
75 kgHammes
43
54 kgKröger
56
77 kgSanguineti
58
61 kgBarnes
69
52 kgSchneitter
71
59 kgRijkes
78
57 kg
1
52 kgNilsson
3
58 kgLechner
5
52 kgKoedooder
7
69 kgBatagelj
9
53 kgArzuffi
12
52 kgVysotska
13
55 kgRitter
16
59 kgPavlukhina
17
68 kgSandig
20
62 kgStultiens
22
58 kgPintar
27
56 kgKessler
33
60 kgWild
41
75 kgHammes
43
54 kgKröger
56
77 kgSanguineti
58
61 kgBarnes
69
52 kgSchneitter
71
59 kgRijkes
78
57 kg
Weight (KG) →
Result →
77
52
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PANKOVA Larisa | 52 |
| 3 | NILSSON Hanna | 58 |
| 5 | LECHNER Eva | 52 |
| 7 | KOEDOODER Vera | 69 |
| 9 | BATAGELJ Polona | 53 |
| 12 | ARZUFFI Alice Maria | 52 |
| 13 | VYSOTSKA Ievgeniia | 55 |
| 16 | RITTER Martina | 59 |
| 17 | PAVLUKHINA Olena | 68 |
| 20 | SANDIG Madeleine | 62 |
| 22 | STULTIENS Sabrina | 58 |
| 27 | PINTAR Urška | 56 |
| 33 | KESSLER Nina | 60 |
| 41 | WILD Kirsten | 75 |
| 43 | HAMMES Kathrin | 54 |
| 56 | KRÖGER Mieke | 77 |
| 58 | SANGUINETI Ilaria | 61 |
| 69 | BARNES Hannah | 52 |
| 71 | SCHNEITTER Nathalie | 59 |
| 78 | RIJKES Sarah | 57 |