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 = 1.3 * weight - 40
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Vos
1
58 kgAbbott
2
52 kgSmall
10
55 kgJasinska
12
57 kgKashchyshyna
16
53 kgKupfernagel
17
68 kgWłoszczowska
19
54 kgDe Vocht
23
61 kgSharakova
30
52 kgDoppmann
33
55 kgMatusiak
36
58 kgDawidowicz
48
57 kgFahlin
50
63 kgvan Vleuten
59
59 kgSadlecka
60
54 kgGorycka
61
54 kgSosna
66
76 kgBrand
71
57 kgSandig
77
62 kg
1
58 kgAbbott
2
52 kgSmall
10
55 kgJasinska
12
57 kgKashchyshyna
16
53 kgKupfernagel
17
68 kgWłoszczowska
19
54 kgDe Vocht
23
61 kgSharakova
30
52 kgDoppmann
33
55 kgMatusiak
36
58 kgDawidowicz
48
57 kgFahlin
50
63 kgvan Vleuten
59
59 kgSadlecka
60
54 kgGorycka
61
54 kgSosna
66
76 kgBrand
71
57 kgSandig
77
62 kg
Weight (KG) →
Result →
76
52
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | ABBOTT Mara | 52 |
| 10 | SMALL Carmen | 55 |
| 12 | JASINSKA Małgorzata | 57 |
| 16 | KASHCHYSHYNA Oksana | 53 |
| 17 | KUPFERNAGEL Hanka | 68 |
| 19 | WŁOSZCZOWSKA Maja | 54 |
| 23 | DE VOCHT Liesbet | 61 |
| 30 | SHARAKOVA Tatsiana | 52 |
| 33 | DOPPMANN Priska | 55 |
| 36 | MATUSIAK Bogumiła | 58 |
| 48 | DAWIDOWICZ Aleksandra | 57 |
| 50 | FAHLIN Emilia | 63 |
| 59 | VAN VLEUTEN Annemiek | 59 |
| 60 | SADLECKA Magdalena | 54 |
| 61 | GORYCKA Paula | 54 |
| 66 | SOSNA Katazyna | 76 |
| 71 | BRAND Lucinda | 57 |
| 77 | SANDIG Madeleine | 62 |