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 = 1.1 * weight - 30
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Vos
1
58 kgBronzini
2
54 kgJohansson
3
58 kgPawlowska
4
60 kgvan der Breggen
5
56 kgBrand
6
57 kgSpratt
8
55 kgMajerus
9
56 kgScandolara
10
52 kgDeignan
13
57 kgWilliams
14
60 kgPolspoel
15
59 kgLongo Borghini
16
59 kgMarche
19
58 kgCantele
20
58 kgde Vries
21
62 kgvan Vleuten
22
59 kgFerrand-Prévot
23
53 kgRowe
24
65 kgTrott
25
56 kgGuarnier
26
54 kgPieters
28
58 kgGuderzo
29
54 kgVisser
30
59 kgKasper
33
59 kgSanchis
37
56 kgStultiens
39
58 kgFrapporti
42
63 kgGuarischi
45
57 kgVekemans
46
52 kgKitchen
50
60 kgHanselmann
51
55 kgSosna
53
76 kgHoffmann
57
62 kgTrevisi
58
54 kgJeuland-Tranchant
63
61 kgRoorda
64
70 kgGafinovitz
65
52 kgHagiwara
66
52 kgKoedooder
70
69 kgArys
75
60 kgJasinska
77
57 kgAlgisi
83
60 kgBaur
84
56 kg
1
58 kgBronzini
2
54 kgJohansson
3
58 kgPawlowska
4
60 kgvan der Breggen
5
56 kgBrand
6
57 kgSpratt
8
55 kgMajerus
9
56 kgScandolara
10
52 kgDeignan
13
57 kgWilliams
14
60 kgPolspoel
15
59 kgLongo Borghini
16
59 kgMarche
19
58 kgCantele
20
58 kgde Vries
21
62 kgvan Vleuten
22
59 kgFerrand-Prévot
23
53 kgRowe
24
65 kgTrott
25
56 kgGuarnier
26
54 kgPieters
28
58 kgGuderzo
29
54 kgVisser
30
59 kgKasper
33
59 kgSanchis
37
56 kgStultiens
39
58 kgFrapporti
42
63 kgGuarischi
45
57 kgVekemans
46
52 kgKitchen
50
60 kgHanselmann
51
55 kgSosna
53
76 kgHoffmann
57
62 kgTrevisi
58
54 kgJeuland-Tranchant
63
61 kgRoorda
64
70 kgGafinovitz
65
52 kgHagiwara
66
52 kgKoedooder
70
69 kgArys
75
60 kgJasinska
77
57 kgAlgisi
83
60 kgBaur
84
56 kg
Weight (KG) →
Result →
76
52
1
84
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | BRONZINI Giorgia | 54 |
3 | JOHANSSON Emma | 58 |
4 | PAWLOWSKA Katarzyna | 60 |
5 | VAN DER BREGGEN Anna | 56 |
6 | BRAND Lucinda | 57 |
8 | SPRATT Amanda | 55 |
9 | MAJERUS Christine | 56 |
10 | SCANDOLARA Valentina | 52 |
13 | DEIGNAN Elizabeth | 57 |
14 | WILLIAMS Georgia | 60 |
15 | POLSPOEL Maaike | 59 |
16 | LONGO BORGHINI Elisa | 59 |
19 | MARCHE Shara | 58 |
20 | CANTELE Noemi | 58 |
21 | DE VRIES Marijn | 62 |
22 | VAN VLEUTEN Annemiek | 59 |
23 | FERRAND-PRÉVOT Pauline | 53 |
24 | ROWE Danielle | 65 |
25 | TROTT Laura | 56 |
26 | GUARNIER Megan | 54 |
28 | PIETERS Amy | 58 |
29 | GUDERZO Tatiana | 54 |
30 | VISSER Adrie | 59 |
33 | KASPER Romy | 59 |
37 | SANCHIS Anna | 56 |
39 | STULTIENS Sabrina | 58 |
42 | FRAPPORTI Simona | 63 |
45 | GUARISCHI Barbara | 57 |
46 | VEKEMANS Anisha | 52 |
50 | KITCHEN Lauren | 60 |
51 | HANSELMANN Nicole | 55 |
53 | SOSNA Katazyna | 76 |
57 | HOFFMANN Chantal | 62 |
58 | TREVISI Anna | 54 |
63 | JEULAND-TRANCHANT Pascale | 61 |
64 | ROORDA Stephanie | 70 |
65 | GAFINOVITZ Rotem | 52 |
66 | HAGIWARA Mayuko | 52 |
70 | KOEDOODER Vera | 69 |
75 | ARYS Evelyn | 60 |
77 | JASINSKA Małgorzata | 57 |
83 | ALGISI Alice | 60 |
84 | BAUR Caroline | 56 |