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 = 0.5 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Barker
1
56 kgVos
2
58 kgGonzález
3
51 kgFournier
4
60 kgKessler
5
60 kgde Baat
6
56 kgEdmondson
7
66 kgTrevisi
9
54 kgPersico
13
53 kgTenniglo
15
64 kgPaladin
17
59 kgSels
18
65 kgRagazinskiene
19
58 kgVan Loy
20
65 kgDruyts
26
62 kgTeruel
30
56 kgHannes
33
51 kgEnsing
34
62 kgvan Houtum
37
55 kgVan Twisk
40
53 kgRodríguez
45
57 kgAndersen
48
55 kgFahlin
49
63 kgBeckers
51
67 kgPollicini
52
57 kgWood
57
59 kgPeeters
59
54 kgKorevaar
61
59 kgDocx
63
52 kgDemey
66
56 kgAllin
67
58 kgMustonen
69
58 kgGafinovitz
75
52 kgCastrique
76
63 kgGuderzo
81
54 kgMoonen
83
56 kgVandenbroucke
88
63 kgHoffmann
94
62 kgRoberts
99
61 kgCant
101
57 kgPolspoel
102
59 kgHatteland Lima
103
65 kg
1
56 kgVos
2
58 kgGonzález
3
51 kgFournier
4
60 kgKessler
5
60 kgde Baat
6
56 kgEdmondson
7
66 kgTrevisi
9
54 kgPersico
13
53 kgTenniglo
15
64 kgPaladin
17
59 kgSels
18
65 kgRagazinskiene
19
58 kgVan Loy
20
65 kgDruyts
26
62 kgTeruel
30
56 kgHannes
33
51 kgEnsing
34
62 kgvan Houtum
37
55 kgVan Twisk
40
53 kgRodríguez
45
57 kgAndersen
48
55 kgFahlin
49
63 kgBeckers
51
67 kgPollicini
52
57 kgWood
57
59 kgPeeters
59
54 kgKorevaar
61
59 kgDocx
63
52 kgDemey
66
56 kgAllin
67
58 kgMustonen
69
58 kgGafinovitz
75
52 kgCastrique
76
63 kgGuderzo
81
54 kgMoonen
83
56 kgVandenbroucke
88
63 kgHoffmann
94
62 kgRoberts
99
61 kgCant
101
57 kgPolspoel
102
59 kgHatteland Lima
103
65 kg
Weight (KG) →
Result →
67
51
1
103
# | Rider | Weight (KG) |
---|---|---|
1 | BARKER Elinor | 56 |
2 | VOS Marianne | 58 |
3 | GONZÁLEZ Alicia | 51 |
4 | FOURNIER Roxane | 60 |
5 | KESSLER Nina | 60 |
6 | DE BAAT Kim | 56 |
7 | EDMONDSON Annette | 66 |
9 | TREVISI Anna | 54 |
13 | PERSICO Silvia | 53 |
15 | TENNIGLO Moniek | 64 |
17 | PALADIN Soraya | 59 |
18 | SELS Loes | 65 |
19 | RAGAZINSKIENE Daiva | 58 |
20 | VAN LOY Ellen | 65 |
26 | DRUYTS Kelly | 62 |
30 | TERUEL Alba | 56 |
33 | HANNES Kaat | 51 |
34 | ENSING Janneke | 62 |
37 | VAN HOUTUM Céline | 55 |
40 | VAN TWISK Abigail | 53 |
45 | RODRÍGUEZ Gloria | 57 |
48 | ANDERSEN Susanne | 55 |
49 | FAHLIN Emilia | 63 |
51 | BECKERS Isabelle | 67 |
52 | POLLICINI Silvia | 57 |
57 | WOOD Alice | 59 |
59 | PEETERS Jinse | 54 |
61 | KOREVAAR Jeanne | 59 |
63 | DOCX Mieke | 52 |
66 | DEMEY Valerie | 56 |
67 | ALLIN Pauline | 58 |
69 | MUSTONEN Sara | 58 |
75 | GAFINOVITZ Rotem | 52 |
76 | CASTRIQUE Alana | 63 |
81 | GUDERZO Tatiana | 54 |
83 | MOONEN Puck | 56 |
88 | VANDENBROUCKE Saartje | 63 |
94 | HOFFMANN Chantal | 62 |
99 | ROBERTS Amy | 61 |
101 | CANT Sanne | 57 |
102 | POLSPOEL Maaike | 59 |
103 | HATTELAND LIMA Tone | 65 |