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 = 0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
van der Breggen
1
56 kgLongo Borghini
3
59 kgvan den Broek-Blaak
4
64 kgEnsing
6
62 kgSpratt
7
55 kgvan Dijk
9
71 kgBastianelli
11
60 kgGuarnier
12
54 kgGuderzo
13
54 kgAmialiusik
15
53 kgLippert
16
56 kgBrand
17
57 kgWilliams
18
60 kgCecchini
19
52 kgGonzález
20
51 kgMarkus
21
61 kgParkinson
22
51 kgKoster
23
56 kgKorevaar
24
59 kgNeylan
25
52 kgPaladin
26
59 kgBujak
28
63 kgEdwards
29
59 kgOyarbide
32
52 kgLabous
33
54 kgBiannic
34
64 kgHenttala
35
58 kgCanuel
36
51 kgMajerus
38
56 kgVan de Velde
39
58 kgYonamine
45
51 kgRitter
46
59 kgFerrand-Prévot
48
53 kgDuyck
49
60 kgSiggaard
50
67 kgBarnes
51
52 kgJasinska
52
57 kgSierra
53
57 kgSaifutdinova
54
57 kgPersico
56
53 kgRoy
57
66 kgElvin
58
63 kgFahlin
59
63 kg
1
56 kgLongo Borghini
3
59 kgvan den Broek-Blaak
4
64 kgEnsing
6
62 kgSpratt
7
55 kgvan Dijk
9
71 kgBastianelli
11
60 kgGuarnier
12
54 kgGuderzo
13
54 kgAmialiusik
15
53 kgLippert
16
56 kgBrand
17
57 kgWilliams
18
60 kgCecchini
19
52 kgGonzález
20
51 kgMarkus
21
61 kgParkinson
22
51 kgKoster
23
56 kgKorevaar
24
59 kgNeylan
25
52 kgPaladin
26
59 kgBujak
28
63 kgEdwards
29
59 kgOyarbide
32
52 kgLabous
33
54 kgBiannic
34
64 kgHenttala
35
58 kgCanuel
36
51 kgMajerus
38
56 kgVan de Velde
39
58 kgYonamine
45
51 kgRitter
46
59 kgFerrand-Prévot
48
53 kgDuyck
49
60 kgSiggaard
50
67 kgBarnes
51
52 kgJasinska
52
57 kgSierra
53
57 kgSaifutdinova
54
57 kgPersico
56
53 kgRoy
57
66 kgElvin
58
63 kgFahlin
59
63 kg
Weight (KG) →
Result →
71
51
1
59
# | Rider | Weight (KG) |
---|---|---|
1 | VAN DER BREGGEN Anna | 56 |
3 | LONGO BORGHINI Elisa | 59 |
4 | VAN DEN BROEK-BLAAK Chantal | 64 |
6 | ENSING Janneke | 62 |
7 | SPRATT Amanda | 55 |
9 | VAN DIJK Ellen | 71 |
11 | BASTIANELLI Marta | 60 |
12 | GUARNIER Megan | 54 |
13 | GUDERZO Tatiana | 54 |
15 | AMIALIUSIK Alena | 53 |
16 | LIPPERT Liane | 56 |
17 | BRAND Lucinda | 57 |
18 | WILLIAMS Georgia | 60 |
19 | CECCHINI Elena | 52 |
20 | GONZÁLEZ Alicia | 51 |
21 | MARKUS Riejanne | 61 |
22 | PARKINSON Abby-Mae | 51 |
23 | KOSTER Anouska | 56 |
24 | KOREVAAR Jeanne | 59 |
25 | NEYLAN Rachel | 52 |
26 | PALADIN Soraya | 59 |
28 | BUJAK Eugenia | 63 |
29 | EDWARDS Ruth | 59 |
32 | OYARBIDE Lourdes | 52 |
33 | LABOUS Juliette | 54 |
34 | BIANNIC Aude | 64 |
35 | HENTTALA Lotta | 58 |
36 | CANUEL Karol-Ann | 51 |
38 | MAJERUS Christine | 56 |
39 | VAN DE VELDE Julie | 58 |
45 | YONAMINE Eri | 51 |
46 | RITTER Martina | 59 |
48 | FERRAND-PRÉVOT Pauline | 53 |
49 | DUYCK Ann-Sophie | 60 |
50 | SIGGAARD Christina | 67 |
51 | BARNES Hannah | 52 |
52 | JASINSKA Małgorzata | 57 |
53 | SIERRA Arlenis | 57 |
54 | SAIFUTDINOVA Natalya | 57 |
56 | PERSICO Silvia | 53 |
57 | ROY Sarah | 66 |
58 | ELVIN Gracie | 63 |
59 | FAHLIN Emilia | 63 |