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 = -0.2 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Johansson
1
58 kgCantele
3
58 kgZabelinskaya
4
52 kgKupfernagel
5
68 kgBrennauer
6
63 kgVisser
9
59 kgBecker
10
64 kgMartisova
11
64 kgDeignan
12
57 kgvan Dijk
14
71 kgHosking
16
60 kgBastianelli
17
60 kgKasper
21
59 kgAndruk
26
56 kgPučinskaitė
27
54 kgSlappendel
31
67 kgKononenko
41
68 kgSolovey
42
56 kgKoedooder
46
69 kgVilajosana
52
57 kgMin
57
56 kgLuo
59
68 kgWong Wan
81
54 kg
1
58 kgCantele
3
58 kgZabelinskaya
4
52 kgKupfernagel
5
68 kgBrennauer
6
63 kgVisser
9
59 kgBecker
10
64 kgMartisova
11
64 kgDeignan
12
57 kgvan Dijk
14
71 kgHosking
16
60 kgBastianelli
17
60 kgKasper
21
59 kgAndruk
26
56 kgPučinskaitė
27
54 kgSlappendel
31
67 kgKononenko
41
68 kgSolovey
42
56 kgKoedooder
46
69 kgVilajosana
52
57 kgMin
57
56 kgLuo
59
68 kgWong Wan
81
54 kg
Weight (KG) →
Result →
71
52
1
81
# | Rider | Weight (KG) |
---|---|---|
1 | JOHANSSON Emma | 58 |
3 | CANTELE Noemi | 58 |
4 | ZABELINSKAYA Olga | 52 |
5 | KUPFERNAGEL Hanka | 68 |
6 | BRENNAUER Lisa | 63 |
9 | VISSER Adrie | 59 |
10 | BECKER Charlotte | 64 |
11 | MARTISOVA Julia | 64 |
12 | DEIGNAN Elizabeth | 57 |
14 | VAN DIJK Ellen | 71 |
16 | HOSKING Chloe | 60 |
17 | BASTIANELLI Marta | 60 |
21 | KASPER Romy | 59 |
26 | ANDRUK Alona | 56 |
27 | PUČINSKAITĖ Edita | 54 |
31 | SLAPPENDEL Iris | 67 |
41 | KONONENKO Valeriya | 68 |
42 | SOLOVEY Hanna | 56 |
46 | KOEDOODER Vera | 69 |
52 | VILAJOSANA Marta | 57 |
57 | MIN Gao | 56 |
59 | LUO Xiao Ling | 68 |
81 | WONG WAN Yiu | 54 |