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 = 0.4 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Brennauer
2
63 kgvan Dijk
3
71 kgFournier
4
60 kgCecchini
5
52 kgMackaij
6
57 kgJasinska
7
57 kgBrand
9
57 kgBujak
10
63 kgTeruel
11
56 kgGonzález
13
51 kgLippert
14
56 kgBatagelj
17
53 kgFahlin
18
63 kgVollering
19
57 kgBecker
23
64 kgRitter
24
59 kgSimmonds
25
55 kgLudwig
27
55 kgBiannic
28
64 kgHammes
29
54 kgNerlo
31
65 kgGrossetête
32
60 kgParkinson
35
51 kgTeutenberg
37
53 kgPilote Fortin
38
55 kgKasper
39
59 kgRiffel
42
57 kgLach
45
59 kgNorman Leth
48
68 kgErath
51
62 kgWood
54
59 kgRodríguez
56
57 kgPavlukhina
58
68 kgMathiesen
62
71 kgHoogeboom
66
52 kgSaifutdinova
69
57 kgAndres
74
62 kgLooser
75
57 kgBoogaard
83
59 kgAdegeest
84
57 kgOosterwoud
87
60 kg
2
63 kgvan Dijk
3
71 kgFournier
4
60 kgCecchini
5
52 kgMackaij
6
57 kgJasinska
7
57 kgBrand
9
57 kgBujak
10
63 kgTeruel
11
56 kgGonzález
13
51 kgLippert
14
56 kgBatagelj
17
53 kgFahlin
18
63 kgVollering
19
57 kgBecker
23
64 kgRitter
24
59 kgSimmonds
25
55 kgLudwig
27
55 kgBiannic
28
64 kgHammes
29
54 kgNerlo
31
65 kgGrossetête
32
60 kgParkinson
35
51 kgTeutenberg
37
53 kgPilote Fortin
38
55 kgKasper
39
59 kgRiffel
42
57 kgLach
45
59 kgNorman Leth
48
68 kgErath
51
62 kgWood
54
59 kgRodríguez
56
57 kgPavlukhina
58
68 kgMathiesen
62
71 kgHoogeboom
66
52 kgSaifutdinova
69
57 kgAndres
74
62 kgLooser
75
57 kgBoogaard
83
59 kgAdegeest
84
57 kgOosterwoud
87
60 kg
Weight (KG) →
Result →
71
51
2
87
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRENNAUER Lisa | 63 |
| 3 | VAN DIJK Ellen | 71 |
| 4 | FOURNIER Roxane | 60 |
| 5 | CECCHINI Elena | 52 |
| 6 | MACKAIJ Floortje | 57 |
| 7 | JASINSKA Małgorzata | 57 |
| 9 | BRAND Lucinda | 57 |
| 10 | BUJAK Eugenia | 63 |
| 11 | TERUEL Alba | 56 |
| 13 | GONZÁLEZ Alicia | 51 |
| 14 | LIPPERT Liane | 56 |
| 17 | BATAGELJ Polona | 53 |
| 18 | FAHLIN Emilia | 63 |
| 19 | VOLLERING Demi | 57 |
| 23 | BECKER Charlotte | 64 |
| 24 | RITTER Martina | 59 |
| 25 | SIMMONDS Hayley | 55 |
| 27 | LUDWIG Hannah | 55 |
| 28 | BIANNIC Aude | 64 |
| 29 | HAMMES Kathrin | 54 |
| 31 | NERLO Aurela | 65 |
| 32 | GROSSETÊTE Maëlle | 60 |
| 35 | PARKINSON Abby-Mae | 51 |
| 37 | TEUTENBERG Lea Lin | 53 |
| 38 | PILOTE FORTIN Gabrielle | 55 |
| 39 | KASPER Romy | 59 |
| 42 | RIFFEL Christa | 57 |
| 45 | LACH Marta | 59 |
| 48 | NORMAN LETH Julie | 68 |
| 51 | ERATH Tanja | 62 |
| 54 | WOOD Alice | 59 |
| 56 | RODRÍGUEZ Gloria | 57 |
| 58 | PAVLUKHINA Olena | 68 |
| 62 | MATHIESEN Pernille | 71 |
| 66 | HOOGEBOOM Roos | 52 |
| 69 | SAIFUTDINOVA Natalya | 57 |
| 74 | ANDRES Michelle | 62 |
| 75 | LOOSER Vera | 57 |
| 83 | BOOGAARD Maaike | 59 |
| 84 | ADEGEEST Loes | 57 |
| 87 | OOSTERWOUD Wendy | 60 |