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 * weight - 77
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Vos
1
58 kgJohansson
2
58 kgArndt
3
59 kgFerrier-Bruneau
6
53 kgBatagelj
8
53 kgvan Vleuten
10
59 kgBrand
11
57 kgZabelinskaya
12
52 kgCantele
16
58 kgPolspoel
17
59 kgMarche
18
58 kgCooke
21
58 kgMustonen
22
58 kgJasinska
23
57 kgMartisova
26
64 kgScandolara
27
52 kgLongo Borghini
30
59 kgLichtenberg
31
52 kgLaws
33
54 kgSpratt
34
55 kgde Vries
39
62 kgKashchyshyna
40
53 kgSlappendel
43
67 kgDeignan
44
57 kgVillumsen
45
59 kgBrennauer
50
63 kgStander
52
57 kgHohl
60
55 kgMartin
62
57 kgFahlin
64
63 kgSöderberg
65
60 kgValsecchi
66
58 kgKasper
70
59 kgSandig
76
62 kgAndruk
78
56 kgBecker
79
64 kgKitchen
80
60 kgHannes
81
51 kgHenrion
82
60 kgvan den Broek-Blaak
83
64 kgPieters
84
58 kg
1
58 kgJohansson
2
58 kgArndt
3
59 kgFerrier-Bruneau
6
53 kgBatagelj
8
53 kgvan Vleuten
10
59 kgBrand
11
57 kgZabelinskaya
12
52 kgCantele
16
58 kgPolspoel
17
59 kgMarche
18
58 kgCooke
21
58 kgMustonen
22
58 kgJasinska
23
57 kgMartisova
26
64 kgScandolara
27
52 kgLongo Borghini
30
59 kgLichtenberg
31
52 kgLaws
33
54 kgSpratt
34
55 kgde Vries
39
62 kgKashchyshyna
40
53 kgSlappendel
43
67 kgDeignan
44
57 kgVillumsen
45
59 kgBrennauer
50
63 kgStander
52
57 kgHohl
60
55 kgMartin
62
57 kgFahlin
64
63 kgSöderberg
65
60 kgValsecchi
66
58 kgKasper
70
59 kgSandig
76
62 kgAndruk
78
56 kgBecker
79
64 kgKitchen
80
60 kgHannes
81
51 kgHenrion
82
60 kgvan den Broek-Blaak
83
64 kgPieters
84
58 kg
Weight (KG) →
Result →
67
51
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | JOHANSSON Emma | 58 |
| 3 | ARNDT Judith | 59 |
| 6 | FERRIER-BRUNEAU Christel | 53 |
| 8 | BATAGELJ Polona | 53 |
| 10 | VAN VLEUTEN Annemiek | 59 |
| 11 | BRAND Lucinda | 57 |
| 12 | ZABELINSKAYA Olga | 52 |
| 16 | CANTELE Noemi | 58 |
| 17 | POLSPOEL Maaike | 59 |
| 18 | MARCHE Shara | 58 |
| 21 | COOKE Nicole | 58 |
| 22 | MUSTONEN Sara | 58 |
| 23 | JASINSKA Małgorzata | 57 |
| 26 | MARTISOVA Julia | 64 |
| 27 | SCANDOLARA Valentina | 52 |
| 30 | LONGO BORGHINI Elisa | 59 |
| 31 | LICHTENBERG Claudia | 52 |
| 33 | LAWS Sharon | 54 |
| 34 | SPRATT Amanda | 55 |
| 39 | DE VRIES Marijn | 62 |
| 40 | KASHCHYSHYNA Oksana | 53 |
| 43 | SLAPPENDEL Iris | 67 |
| 44 | DEIGNAN Elizabeth | 57 |
| 45 | VILLUMSEN Linda | 59 |
| 50 | BRENNAUER Lisa | 63 |
| 52 | STANDER Marissa | 57 |
| 60 | HOHL Jennifer | 55 |
| 62 | MARTIN Lucy | 57 |
| 64 | FAHLIN Emilia | 63 |
| 65 | SÖDERBERG Isabelle | 60 |
| 66 | VALSECCHI Silvia | 58 |
| 70 | KASPER Romy | 59 |
| 76 | SANDIG Madeleine | 62 |
| 78 | ANDRUK Alona | 56 |
| 79 | BECKER Charlotte | 64 |
| 80 | KITCHEN Lauren | 60 |
| 81 | HANNES Kaat | 51 |
| 82 | HENRION Ludivine | 60 |
| 83 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 84 | PIETERS Amy | 58 |