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 kgBrand
3
57 kgCecchini
5
52 kgLippert
6
56 kgBujak
7
63 kgJasinska
8
57 kgMackaij
9
57 kgHammes
12
54 kgRitter
14
59 kgLudwig
16
55 kgBecker
19
64 kgGonzález
20
51 kgVollering
24
57 kgWood
27
59 kgPavlukhina
29
68 kgParkinson
29
51 kgFournier
30
60 kgSimmonds
31
55 kgBiannic
32
64 kgFahlin
33
63 kgBatagelj
34
53 kgNerlo
36
65 kgPilote Fortin
39
55 kgKasper
42
59 kgTeutenberg
43
53 kgRiffel
44
57 kgTeruel
45
56 kgGrossetête
47
60 kgLach
48
59 kgNorman Leth
50
68 kgMathiesen
53
71 kgRodríguez
55
57 kgHoogeboom
63
52 kgSaifutdinova
64
57 kgLooser
68
57 kgBoogaard
70
59 kgAdegeest
73
57 kgAndres
74
62 kg
1
63 kgvan Dijk
2
71 kgBrand
3
57 kgCecchini
5
52 kgLippert
6
56 kgBujak
7
63 kgJasinska
8
57 kgMackaij
9
57 kgHammes
12
54 kgRitter
14
59 kgLudwig
16
55 kgBecker
19
64 kgGonzález
20
51 kgVollering
24
57 kgWood
27
59 kgPavlukhina
29
68 kgParkinson
29
51 kgFournier
30
60 kgSimmonds
31
55 kgBiannic
32
64 kgFahlin
33
63 kgBatagelj
34
53 kgNerlo
36
65 kgPilote Fortin
39
55 kgKasper
42
59 kgTeutenberg
43
53 kgRiffel
44
57 kgTeruel
45
56 kgGrossetête
47
60 kgLach
48
59 kgNorman Leth
50
68 kgMathiesen
53
71 kgRodríguez
55
57 kgHoogeboom
63
52 kgSaifutdinova
64
57 kgLooser
68
57 kgBoogaard
70
59 kgAdegeest
73
57 kgAndres
74
62 kg
Weight (KG) →
Result →
71
51
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | BRAND Lucinda | 57 |
| 5 | CECCHINI Elena | 52 |
| 6 | LIPPERT Liane | 56 |
| 7 | BUJAK Eugenia | 63 |
| 8 | JASINSKA Małgorzata | 57 |
| 9 | MACKAIJ Floortje | 57 |
| 12 | HAMMES Kathrin | 54 |
| 14 | RITTER Martina | 59 |
| 16 | LUDWIG Hannah | 55 |
| 19 | BECKER Charlotte | 64 |
| 20 | GONZÁLEZ Alicia | 51 |
| 24 | VOLLERING Demi | 57 |
| 27 | WOOD Alice | 59 |
| 29 | PAVLUKHINA Olena | 68 |
| 29 | PARKINSON Abby-Mae | 51 |
| 30 | FOURNIER Roxane | 60 |
| 31 | SIMMONDS Hayley | 55 |
| 32 | BIANNIC Aude | 64 |
| 33 | FAHLIN Emilia | 63 |
| 34 | BATAGELJ Polona | 53 |
| 36 | NERLO Aurela | 65 |
| 39 | PILOTE FORTIN Gabrielle | 55 |
| 42 | KASPER Romy | 59 |
| 43 | TEUTENBERG Lea Lin | 53 |
| 44 | RIFFEL Christa | 57 |
| 45 | TERUEL Alba | 56 |
| 47 | GROSSETÊTE Maëlle | 60 |
| 48 | LACH Marta | 59 |
| 50 | NORMAN LETH Julie | 68 |
| 53 | MATHIESEN Pernille | 71 |
| 55 | RODRÍGUEZ Gloria | 57 |
| 63 | HOOGEBOOM Roos | 52 |
| 64 | SAIFUTDINOVA Natalya | 57 |
| 68 | LOOSER Vera | 57 |
| 70 | BOOGAARD Maaike | 59 |
| 73 | ADEGEEST Loes | 57 |
| 74 | ANDRES Michelle | 62 |