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 = 0.5 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Brennauer
1
63 kgvan Dijk
2
71 kgJasinska
3
57 kgCecchini
7
52 kgBrand
8
57 kgBujak
9
63 kgMackaij
10
57 kgLippert
11
56 kgFournier
12
60 kgVollering
13
57 kgLudwig
16
55 kgHammes
18
54 kgBatagelj
21
53 kgParkinson
24
51 kgSimmonds
25
55 kgBecker
26
64 kgGonzález
27
51 kgNerlo
29
65 kgRitter
30
59 kgFahlin
31
63 kgBiannic
33
64 kgPilote Fortin
34
55 kgKasper
36
59 kgTeutenberg
38
53 kgTeruel
40
56 kgRiffel
41
57 kgGrossetête
42
60 kgLach
45
59 kgNorman Leth
46
68 kgWood
52
59 kgPavlukhina
54
68 kgHoogeboom
59
52 kgSaifutdinova
60
57 kgMathiesen
64
71 kgRodríguez
68
57 kgLooser
69
57 kgBoogaard
74
59 kgAndres
76
62 kgAdegeest
77
57 kgOosterwoud
82
60 kg
1
63 kgvan Dijk
2
71 kgJasinska
3
57 kgCecchini
7
52 kgBrand
8
57 kgBujak
9
63 kgMackaij
10
57 kgLippert
11
56 kgFournier
12
60 kgVollering
13
57 kgLudwig
16
55 kgHammes
18
54 kgBatagelj
21
53 kgParkinson
24
51 kgSimmonds
25
55 kgBecker
26
64 kgGonzález
27
51 kgNerlo
29
65 kgRitter
30
59 kgFahlin
31
63 kgBiannic
33
64 kgPilote Fortin
34
55 kgKasper
36
59 kgTeutenberg
38
53 kgTeruel
40
56 kgRiffel
41
57 kgGrossetête
42
60 kgLach
45
59 kgNorman Leth
46
68 kgWood
52
59 kgPavlukhina
54
68 kgHoogeboom
59
52 kgSaifutdinova
60
57 kgMathiesen
64
71 kgRodríguez
68
57 kgLooser
69
57 kgBoogaard
74
59 kgAndres
76
62 kgAdegeest
77
57 kgOosterwoud
82
60 kg
Weight (KG) →
Result →
71
51
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | JASINSKA Małgorzata | 57 |
| 7 | CECCHINI Elena | 52 |
| 8 | BRAND Lucinda | 57 |
| 9 | BUJAK Eugenia | 63 |
| 10 | MACKAIJ Floortje | 57 |
| 11 | LIPPERT Liane | 56 |
| 12 | FOURNIER Roxane | 60 |
| 13 | VOLLERING Demi | 57 |
| 16 | LUDWIG Hannah | 55 |
| 18 | HAMMES Kathrin | 54 |
| 21 | BATAGELJ Polona | 53 |
| 24 | PARKINSON Abby-Mae | 51 |
| 25 | SIMMONDS Hayley | 55 |
| 26 | BECKER Charlotte | 64 |
| 27 | GONZÁLEZ Alicia | 51 |
| 29 | NERLO Aurela | 65 |
| 30 | RITTER Martina | 59 |
| 31 | FAHLIN Emilia | 63 |
| 33 | BIANNIC Aude | 64 |
| 34 | PILOTE FORTIN Gabrielle | 55 |
| 36 | KASPER Romy | 59 |
| 38 | TEUTENBERG Lea Lin | 53 |
| 40 | TERUEL Alba | 56 |
| 41 | RIFFEL Christa | 57 |
| 42 | GROSSETÊTE Maëlle | 60 |
| 45 | LACH Marta | 59 |
| 46 | NORMAN LETH Julie | 68 |
| 52 | WOOD Alice | 59 |
| 54 | PAVLUKHINA Olena | 68 |
| 59 | HOOGEBOOM Roos | 52 |
| 60 | SAIFUTDINOVA Natalya | 57 |
| 64 | MATHIESEN Pernille | 71 |
| 68 | RODRÍGUEZ Gloria | 57 |
| 69 | LOOSER Vera | 57 |
| 74 | BOOGAARD Maaike | 59 |
| 76 | ANDRES Michelle | 62 |
| 77 | ADEGEEST Loes | 57 |
| 82 | OOSTERWOUD Wendy | 60 |