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 = -2.2 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Wild
1
75 kgHosking
2
60 kgRoy
3
66 kgEdmondson
4
66 kgBastianelli
5
60 kgJackson
7
63 kgSiggaard
9
67 kgD'hoore
10
63 kgMoberg
11
56 kgTrevisi
14
54 kgKitchen
17
60 kgErić
19
53 kgRyan
25
59 kgChursina
27
52 kgSharakova
29
52 kgTserakh
30
70 kgDiao
31
59 kgSkalniak-Sójka
37
54 kgKessler
38
60 kgAlzini
41
64 kgFrapporti
42
63 kgKasenova
44
52 kgSanguineti
45
61 kgNorman Leth
50
68 kgKasper
51
59 kgBarbieri
54
55 kgManly
56
53 kgSomnet
59
54 kgKorevaar
65
59 kgHammes
68
54 kgPlichta
72
60 kgAllen
74
55 kgGutiérrez
75
60 kgBecker
76
64 kgHuang
77
54 kgHatteland Lima
78
65 kgNeylan
80
52 kgWilliams
84
60 kgValsecchi
85
58 kgPaladin
89
59 kgRoberts
90
61 kgPenton
93
55 kgGafinovitz
94
52 kgKastelijn
95
52 kgScandolara
96
52 kg
1
75 kgHosking
2
60 kgRoy
3
66 kgEdmondson
4
66 kgBastianelli
5
60 kgJackson
7
63 kgSiggaard
9
67 kgD'hoore
10
63 kgMoberg
11
56 kgTrevisi
14
54 kgKitchen
17
60 kgErić
19
53 kgRyan
25
59 kgChursina
27
52 kgSharakova
29
52 kgTserakh
30
70 kgDiao
31
59 kgSkalniak-Sójka
37
54 kgKessler
38
60 kgAlzini
41
64 kgFrapporti
42
63 kgKasenova
44
52 kgSanguineti
45
61 kgNorman Leth
50
68 kgKasper
51
59 kgBarbieri
54
55 kgManly
56
53 kgSomnet
59
54 kgKorevaar
65
59 kgHammes
68
54 kgPlichta
72
60 kgAllen
74
55 kgGutiérrez
75
60 kgBecker
76
64 kgHuang
77
54 kgHatteland Lima
78
65 kgNeylan
80
52 kgWilliams
84
60 kgValsecchi
85
58 kgPaladin
89
59 kgRoberts
90
61 kgPenton
93
55 kgGafinovitz
94
52 kgKastelijn
95
52 kgScandolara
96
52 kg
Weight (KG) →
Result →
75
52
1
96
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | HOSKING Chloe | 60 |
| 3 | ROY Sarah | 66 |
| 4 | EDMONDSON Annette | 66 |
| 5 | BASTIANELLI Marta | 60 |
| 7 | JACKSON Alison | 63 |
| 9 | SIGGAARD Christina | 67 |
| 10 | D'HOORE Jolien | 63 |
| 11 | MOBERG Emilie | 56 |
| 14 | TREVISI Anna | 54 |
| 17 | KITCHEN Lauren | 60 |
| 19 | ERIĆ Jelena | 53 |
| 25 | RYAN Kendall | 59 |
| 27 | CHURSINA Anastasiia | 52 |
| 29 | SHARAKOVA Tatsiana | 52 |
| 30 | TSERAKH Hanna | 70 |
| 31 | DIAO Xiao Juan | 59 |
| 37 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 38 | KESSLER Nina | 60 |
| 41 | ALZINI Martina | 64 |
| 42 | FRAPPORTI Simona | 63 |
| 44 | KASENOVA Karina | 52 |
| 45 | SANGUINETI Ilaria | 61 |
| 50 | NORMAN LETH Julie | 68 |
| 51 | KASPER Romy | 59 |
| 54 | BARBIERI Rachele | 55 |
| 56 | MANLY Alexandra | 53 |
| 59 | SOMNET Jupha | 54 |
| 65 | KOREVAAR Jeanne | 59 |
| 68 | HAMMES Kathrin | 54 |
| 72 | PLICHTA Anna | 60 |
| 74 | ALLEN Jessica | 55 |
| 75 | GUTIÉRREZ Sheyla | 60 |
| 76 | BECKER Charlotte | 64 |
| 77 | HUANG Li | 54 |
| 78 | HATTELAND LIMA Tone | 65 |
| 80 | NEYLAN Rachel | 52 |
| 84 | WILLIAMS Georgia | 60 |
| 85 | VALSECCHI Silvia | 58 |
| 89 | PALADIN Soraya | 59 |
| 90 | ROBERTS Amy | 61 |
| 93 | PENTON Sara | 55 |
| 94 | GAFINOVITZ Rotem | 52 |
| 95 | KASTELIJN Yara | 52 |
| 96 | SCANDOLARA Valentina | 52 |