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 * weight + 34
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Brennauer
1
63 kgvan Dijk
2
71 kgCecchini
3
52 kgBujak
4
63 kgFournier
6
60 kgJasinska
8
57 kgFahlin
9
63 kgTeruel
11
56 kgGonzález
12
51 kgMackaij
13
57 kgParkinson
16
51 kgVollering
17
57 kgRitter
18
59 kgBrand
20
57 kgLippert
21
56 kgGrossetête
27
60 kgBecker
29
64 kgBatagelj
30
53 kgHammes
32
54 kgSimmonds
34
55 kgKasper
35
59 kgBiannic
36
64 kgErath
37
62 kgNerlo
38
65 kgPilote Fortin
41
55 kgLudwig
42
55 kgTeutenberg
46
53 kgNorman Leth
48
68 kgRiffel
49
57 kgWood
51
59 kgRodríguez
52
57 kgMathiesen
54
71 kgSaifutdinova
61
57 kgPavlukhina
65
68 kgAndres
67
62 kgBoogaard
70
59 kgLach
71
59 kgOosterwoud
78
60 kgLooser
81
57 kgAdegeest
82
57 kgHoogeboom
91
52 kg
1
63 kgvan Dijk
2
71 kgCecchini
3
52 kgBujak
4
63 kgFournier
6
60 kgJasinska
8
57 kgFahlin
9
63 kgTeruel
11
56 kgGonzález
12
51 kgMackaij
13
57 kgParkinson
16
51 kgVollering
17
57 kgRitter
18
59 kgBrand
20
57 kgLippert
21
56 kgGrossetête
27
60 kgBecker
29
64 kgBatagelj
30
53 kgHammes
32
54 kgSimmonds
34
55 kgKasper
35
59 kgBiannic
36
64 kgErath
37
62 kgNerlo
38
65 kgPilote Fortin
41
55 kgLudwig
42
55 kgTeutenberg
46
53 kgNorman Leth
48
68 kgRiffel
49
57 kgWood
51
59 kgRodríguez
52
57 kgMathiesen
54
71 kgSaifutdinova
61
57 kgPavlukhina
65
68 kgAndres
67
62 kgBoogaard
70
59 kgLach
71
59 kgOosterwoud
78
60 kgLooser
81
57 kgAdegeest
82
57 kgHoogeboom
91
52 kg
Weight (KG) →
Result →
71
51
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | CECCHINI Elena | 52 |
| 4 | BUJAK Eugenia | 63 |
| 6 | FOURNIER Roxane | 60 |
| 8 | JASINSKA Małgorzata | 57 |
| 9 | FAHLIN Emilia | 63 |
| 11 | TERUEL Alba | 56 |
| 12 | GONZÁLEZ Alicia | 51 |
| 13 | MACKAIJ Floortje | 57 |
| 16 | PARKINSON Abby-Mae | 51 |
| 17 | VOLLERING Demi | 57 |
| 18 | RITTER Martina | 59 |
| 20 | BRAND Lucinda | 57 |
| 21 | LIPPERT Liane | 56 |
| 27 | GROSSETÊTE Maëlle | 60 |
| 29 | BECKER Charlotte | 64 |
| 30 | BATAGELJ Polona | 53 |
| 32 | HAMMES Kathrin | 54 |
| 34 | SIMMONDS Hayley | 55 |
| 35 | KASPER Romy | 59 |
| 36 | BIANNIC Aude | 64 |
| 37 | ERATH Tanja | 62 |
| 38 | NERLO Aurela | 65 |
| 41 | PILOTE FORTIN Gabrielle | 55 |
| 42 | LUDWIG Hannah | 55 |
| 46 | TEUTENBERG Lea Lin | 53 |
| 48 | NORMAN LETH Julie | 68 |
| 49 | RIFFEL Christa | 57 |
| 51 | WOOD Alice | 59 |
| 52 | RODRÍGUEZ Gloria | 57 |
| 54 | MATHIESEN Pernille | 71 |
| 61 | SAIFUTDINOVA Natalya | 57 |
| 65 | PAVLUKHINA Olena | 68 |
| 67 | ANDRES Michelle | 62 |
| 70 | BOOGAARD Maaike | 59 |
| 71 | LACH Marta | 59 |
| 78 | OOSTERWOUD Wendy | 60 |
| 81 | LOOSER Vera | 57 |
| 82 | ADEGEEST Loes | 57 |
| 91 | HOOGEBOOM Roos | 52 |