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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Visser
1
59 kgSlappendel
2
67 kgBastianelli
3
60 kgZabelinskaya
4
52 kgMartisova
5
64 kgPučinskaitė
6
54 kgCantele
13
58 kgVilajosana
14
57 kgBrennauer
16
63 kgKoedooder
17
69 kgKasper
18
59 kgSolovey
25
56 kgAndruk
29
56 kgBecker
30
64 kgMin
36
56 kgKupfernagel
37
68 kgKononenko
44
68 kgvan Dijk
48
71 kgHosking
53
60 kgDeignan
55
57 kgLuo
60
68 kg
1
59 kgSlappendel
2
67 kgBastianelli
3
60 kgZabelinskaya
4
52 kgMartisova
5
64 kgPučinskaitė
6
54 kgCantele
13
58 kgVilajosana
14
57 kgBrennauer
16
63 kgKoedooder
17
69 kgKasper
18
59 kgSolovey
25
56 kgAndruk
29
56 kgBecker
30
64 kgMin
36
56 kgKupfernagel
37
68 kgKononenko
44
68 kgvan Dijk
48
71 kgHosking
53
60 kgDeignan
55
57 kgLuo
60
68 kg
Weight (KG) →
Result →
71
52
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISSER Adrie | 59 |
| 2 | SLAPPENDEL Iris | 67 |
| 3 | BASTIANELLI Marta | 60 |
| 4 | ZABELINSKAYA Olga | 52 |
| 5 | MARTISOVA Julia | 64 |
| 6 | PUČINSKAITĖ Edita | 54 |
| 13 | CANTELE Noemi | 58 |
| 14 | VILAJOSANA Marta | 57 |
| 16 | BRENNAUER Lisa | 63 |
| 17 | KOEDOODER Vera | 69 |
| 18 | KASPER Romy | 59 |
| 25 | SOLOVEY Hanna | 56 |
| 29 | ANDRUK Alona | 56 |
| 30 | BECKER Charlotte | 64 |
| 36 | MIN Gao | 56 |
| 37 | KUPFERNAGEL Hanka | 68 |
| 44 | KONONENKO Valeriya | 68 |
| 48 | VAN DIJK Ellen | 71 |
| 53 | HOSKING Chloe | 60 |
| 55 | DEIGNAN Elizabeth | 57 |
| 60 | LUO Xiao Ling | 68 |