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 = -0.7 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Wood
1
59 kgCecchini
2
52 kgBrennauer
3
63 kgvan Dijk
5
71 kgBujak
6
63 kgBrand
8
57 kgJasinska
10
57 kgMackaij
13
57 kgLippert
15
56 kgBecker
17
64 kgRitter
18
59 kgGonzález
20
51 kgPavlukhina
21
68 kgHammes
22
54 kgLudwig
25
55 kgRodríguez
27
57 kgMathiesen
31
71 kgVollering
32
57 kgSaifutdinova
41
57 kgAndres
45
62 kgLach
46
59 kgParkinson
48
51 kgNorman Leth
50
68 kgPilote Fortin
51
55 kgSimmonds
54
55 kgGrossetête
56
60 kgBatagelj
58
53 kgFahlin
59
63 kgLooser
62
57 kgTeruel
64
56 kgNerlo
66
65 kgFournier
67
60 kgBiannic
69
64 kgKasper
70
59 kgRiffel
72
57 kgTeutenberg
74
53 kgBoogaard
75
59 kgHoogeboom
76
52 kgAdegeest
78
57 kg
1
59 kgCecchini
2
52 kgBrennauer
3
63 kgvan Dijk
5
71 kgBujak
6
63 kgBrand
8
57 kgJasinska
10
57 kgMackaij
13
57 kgLippert
15
56 kgBecker
17
64 kgRitter
18
59 kgGonzález
20
51 kgPavlukhina
21
68 kgHammes
22
54 kgLudwig
25
55 kgRodríguez
27
57 kgMathiesen
31
71 kgVollering
32
57 kgSaifutdinova
41
57 kgAndres
45
62 kgLach
46
59 kgParkinson
48
51 kgNorman Leth
50
68 kgPilote Fortin
51
55 kgSimmonds
54
55 kgGrossetête
56
60 kgBatagelj
58
53 kgFahlin
59
63 kgLooser
62
57 kgTeruel
64
56 kgNerlo
66
65 kgFournier
67
60 kgBiannic
69
64 kgKasper
70
59 kgRiffel
72
57 kgTeutenberg
74
53 kgBoogaard
75
59 kgHoogeboom
76
52 kgAdegeest
78
57 kg
Weight (KG) →
Result →
71
51
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOOD Alice | 59 |
| 2 | CECCHINI Elena | 52 |
| 3 | BRENNAUER Lisa | 63 |
| 5 | VAN DIJK Ellen | 71 |
| 6 | BUJAK Eugenia | 63 |
| 8 | BRAND Lucinda | 57 |
| 10 | JASINSKA Małgorzata | 57 |
| 13 | MACKAIJ Floortje | 57 |
| 15 | LIPPERT Liane | 56 |
| 17 | BECKER Charlotte | 64 |
| 18 | RITTER Martina | 59 |
| 20 | GONZÁLEZ Alicia | 51 |
| 21 | PAVLUKHINA Olena | 68 |
| 22 | HAMMES Kathrin | 54 |
| 25 | LUDWIG Hannah | 55 |
| 27 | RODRÍGUEZ Gloria | 57 |
| 31 | MATHIESEN Pernille | 71 |
| 32 | VOLLERING Demi | 57 |
| 41 | SAIFUTDINOVA Natalya | 57 |
| 45 | ANDRES Michelle | 62 |
| 46 | LACH Marta | 59 |
| 48 | PARKINSON Abby-Mae | 51 |
| 50 | NORMAN LETH Julie | 68 |
| 51 | PILOTE FORTIN Gabrielle | 55 |
| 54 | SIMMONDS Hayley | 55 |
| 56 | GROSSETÊTE Maëlle | 60 |
| 58 | BATAGELJ Polona | 53 |
| 59 | FAHLIN Emilia | 63 |
| 62 | LOOSER Vera | 57 |
| 64 | TERUEL Alba | 56 |
| 66 | NERLO Aurela | 65 |
| 67 | FOURNIER Roxane | 60 |
| 69 | BIANNIC Aude | 64 |
| 70 | KASPER Romy | 59 |
| 72 | RIFFEL Christa | 57 |
| 74 | TEUTENBERG Lea Lin | 53 |
| 75 | BOOGAARD Maaike | 59 |
| 76 | HOOGEBOOM Roos | 52 |
| 78 | ADEGEEST Loes | 57 |