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 = 0.9 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Cecchini
1
52 kgBrennauer
3
63 kgFournier
4
60 kgvan Dijk
5
71 kgVollering
7
57 kgTeruel
8
56 kgBujak
9
63 kgJasinska
10
57 kgMackaij
11
57 kgLach
12
59 kgFahlin
13
63 kgNeylan
15
52 kgParkinson
17
51 kgBrand
20
57 kgGonzález
21
51 kgRitter
25
59 kgGrossetête
26
60 kgBecker
27
64 kgSimmonds
28
55 kgHammes
29
54 kgBatagelj
35
53 kgLudwig
36
55 kgBiannic
40
64 kgLippert
41
56 kgNerlo
42
65 kgKasper
46
59 kgHoogeboom
51
52 kgPavlukhina
52
68 kgTeutenberg
52
53 kgPilote Fortin
55
55 kgRiffel
56
57 kgErath
61
62 kgSaifutdinova
65
57 kgWood
69
59 kgRodríguez
70
57 kgAndres
73
62 kgLooser
75
57 kgNorman Leth
80
68 kgMathiesen
81
71 kgAdegeest
87
57 kgBoogaard
89
59 kgOosterwoud
94
60 kg
1
52 kgBrennauer
3
63 kgFournier
4
60 kgvan Dijk
5
71 kgVollering
7
57 kgTeruel
8
56 kgBujak
9
63 kgJasinska
10
57 kgMackaij
11
57 kgLach
12
59 kgFahlin
13
63 kgNeylan
15
52 kgParkinson
17
51 kgBrand
20
57 kgGonzález
21
51 kgRitter
25
59 kgGrossetête
26
60 kgBecker
27
64 kgSimmonds
28
55 kgHammes
29
54 kgBatagelj
35
53 kgLudwig
36
55 kgBiannic
40
64 kgLippert
41
56 kgNerlo
42
65 kgKasper
46
59 kgHoogeboom
51
52 kgPavlukhina
52
68 kgTeutenberg
52
53 kgPilote Fortin
55
55 kgRiffel
56
57 kgErath
61
62 kgSaifutdinova
65
57 kgWood
69
59 kgRodríguez
70
57 kgAndres
73
62 kgLooser
75
57 kgNorman Leth
80
68 kgMathiesen
81
71 kgAdegeest
87
57 kgBoogaard
89
59 kgOosterwoud
94
60 kg
Weight (KG) →
Result →
71
51
1
94
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CECCHINI Elena | 52 |
| 3 | BRENNAUER Lisa | 63 |
| 4 | FOURNIER Roxane | 60 |
| 5 | VAN DIJK Ellen | 71 |
| 7 | VOLLERING Demi | 57 |
| 8 | TERUEL Alba | 56 |
| 9 | BUJAK Eugenia | 63 |
| 10 | JASINSKA Małgorzata | 57 |
| 11 | MACKAIJ Floortje | 57 |
| 12 | LACH Marta | 59 |
| 13 | FAHLIN Emilia | 63 |
| 15 | NEYLAN Rachel | 52 |
| 17 | PARKINSON Abby-Mae | 51 |
| 20 | BRAND Lucinda | 57 |
| 21 | GONZÁLEZ Alicia | 51 |
| 25 | RITTER Martina | 59 |
| 26 | GROSSETÊTE Maëlle | 60 |
| 27 | BECKER Charlotte | 64 |
| 28 | SIMMONDS Hayley | 55 |
| 29 | HAMMES Kathrin | 54 |
| 35 | BATAGELJ Polona | 53 |
| 36 | LUDWIG Hannah | 55 |
| 40 | BIANNIC Aude | 64 |
| 41 | LIPPERT Liane | 56 |
| 42 | NERLO Aurela | 65 |
| 46 | KASPER Romy | 59 |
| 51 | HOOGEBOOM Roos | 52 |
| 52 | PAVLUKHINA Olena | 68 |
| 52 | TEUTENBERG Lea Lin | 53 |
| 55 | PILOTE FORTIN Gabrielle | 55 |
| 56 | RIFFEL Christa | 57 |
| 61 | ERATH Tanja | 62 |
| 65 | SAIFUTDINOVA Natalya | 57 |
| 69 | WOOD Alice | 59 |
| 70 | RODRÍGUEZ Gloria | 57 |
| 73 | ANDRES Michelle | 62 |
| 75 | LOOSER Vera | 57 |
| 80 | NORMAN LETH Julie | 68 |
| 81 | MATHIESEN Pernille | 71 |
| 87 | ADEGEEST Loes | 57 |
| 89 | BOOGAARD Maaike | 59 |
| 94 | OOSTERWOUD Wendy | 60 |