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 = 0.9 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Becker
3
64 kgVos
4
58 kgGuderzo
5
54 kgArndt
7
59 kgAbbott
8
52 kgPučinskaitė
10
54 kgStevens
11
55 kgBaccaille
14
61 kgMartisova
15
64 kgVysotska
18
55 kgLópez
26
54 kgOlds
28
54 kgRiabchenko
29
57 kgSanchis
33
56 kgGrassi
34
56 kgNeylan
35
52 kgDe Vocht
36
61 kgvan den Broek-Blaak
38
64 kgvan Vleuten
39
59 kgAndruk
40
56 kgBrennauer
41
63 kgKashchyshyna
42
53 kgKasper
43
59 kgSlappendel
44
67 kgVžesniauskaitė
47
57 kgBronzini
49
54 kgFahlin
50
63 kgTeutenberg
51
64 kgGuarnier
54
54 kgHohl
55
55 kgBrand
56
57 kgSandig
57
62 kgVisser
61
59 kgValsecchi
65
58 kgScandolara
67
52 kgSchleicher
80
58 kgFrapporti
91
63 kgHosking
96
60 kg
3
64 kgVos
4
58 kgGuderzo
5
54 kgArndt
7
59 kgAbbott
8
52 kgPučinskaitė
10
54 kgStevens
11
55 kgBaccaille
14
61 kgMartisova
15
64 kgVysotska
18
55 kgLópez
26
54 kgOlds
28
54 kgRiabchenko
29
57 kgSanchis
33
56 kgGrassi
34
56 kgNeylan
35
52 kgDe Vocht
36
61 kgvan den Broek-Blaak
38
64 kgvan Vleuten
39
59 kgAndruk
40
56 kgBrennauer
41
63 kgKashchyshyna
42
53 kgKasper
43
59 kgSlappendel
44
67 kgVžesniauskaitė
47
57 kgBronzini
49
54 kgFahlin
50
63 kgTeutenberg
51
64 kgGuarnier
54
54 kgHohl
55
55 kgBrand
56
57 kgSandig
57
62 kgVisser
61
59 kgValsecchi
65
58 kgScandolara
67
52 kgSchleicher
80
58 kgFrapporti
91
63 kgHosking
96
60 kg
Weight (KG) →
Result →
67
52
3
96
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BECKER Charlotte | 64 |
| 4 | VOS Marianne | 58 |
| 5 | GUDERZO Tatiana | 54 |
| 7 | ARNDT Judith | 59 |
| 8 | ABBOTT Mara | 52 |
| 10 | PUČINSKAITĖ Edita | 54 |
| 11 | STEVENS Evelyn | 55 |
| 14 | BACCAILLE Monia | 61 |
| 15 | MARTISOVA Julia | 64 |
| 18 | VYSOTSKA Ievgeniia | 55 |
| 26 | LÓPEZ Belén | 54 |
| 28 | OLDS Shelley | 54 |
| 29 | RIABCHENKO Tetyana | 57 |
| 33 | SANCHIS Anna | 56 |
| 34 | GRASSI Giuseppina | 56 |
| 35 | NEYLAN Rachel | 52 |
| 36 | DE VOCHT Liesbet | 61 |
| 38 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 39 | VAN VLEUTEN Annemiek | 59 |
| 40 | ANDRUK Alona | 56 |
| 41 | BRENNAUER Lisa | 63 |
| 42 | KASHCHYSHYNA Oksana | 53 |
| 43 | KASPER Romy | 59 |
| 44 | SLAPPENDEL Iris | 67 |
| 47 | VŽESNIAUSKAITĖ Modesta | 57 |
| 49 | BRONZINI Giorgia | 54 |
| 50 | FAHLIN Emilia | 63 |
| 51 | TEUTENBERG Ina-Yoko | 64 |
| 54 | GUARNIER Megan | 54 |
| 55 | HOHL Jennifer | 55 |
| 56 | BRAND Lucinda | 57 |
| 57 | SANDIG Madeleine | 62 |
| 61 | VISSER Adrie | 59 |
| 65 | VALSECCHI Silvia | 58 |
| 67 | SCANDOLARA Valentina | 52 |
| 80 | SCHLEICHER Regina | 58 |
| 91 | FRAPPORTI Simona | 63 |
| 96 | HOSKING Chloe | 60 |