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 = -0.6 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kupfernagel
1
68 kgZabelinskaya
3
52 kgSolovey
4
56 kgvan Dijk
8
71 kgBrennauer
9
63 kgSlappendel
12
67 kgBecker
13
64 kgPučinskaitė
17
54 kgCantele
18
58 kgVisser
22
59 kgKoedooder
23
69 kgKononenko
30
68 kgMartisova
31
64 kgVilajosana
32
57 kgKasper
35
59 kgHosking
40
60 kgBastianelli
50
60 kgLuo
54
68 kgAndruk
57
56 kgMin
68
56 kg
1
68 kgZabelinskaya
3
52 kgSolovey
4
56 kgvan Dijk
8
71 kgBrennauer
9
63 kgSlappendel
12
67 kgBecker
13
64 kgPučinskaitė
17
54 kgCantele
18
58 kgVisser
22
59 kgKoedooder
23
69 kgKononenko
30
68 kgMartisova
31
64 kgVilajosana
32
57 kgKasper
35
59 kgHosking
40
60 kgBastianelli
50
60 kgLuo
54
68 kgAndruk
57
56 kgMin
68
56 kg
Weight (KG) →
Result →
71
52
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUPFERNAGEL Hanka | 68 |
| 3 | ZABELINSKAYA Olga | 52 |
| 4 | SOLOVEY Hanna | 56 |
| 8 | VAN DIJK Ellen | 71 |
| 9 | BRENNAUER Lisa | 63 |
| 12 | SLAPPENDEL Iris | 67 |
| 13 | BECKER Charlotte | 64 |
| 17 | PUČINSKAITĖ Edita | 54 |
| 18 | CANTELE Noemi | 58 |
| 22 | VISSER Adrie | 59 |
| 23 | KOEDOODER Vera | 69 |
| 30 | KONONENKO Valeriya | 68 |
| 31 | MARTISOVA Julia | 64 |
| 32 | VILAJOSANA Marta | 57 |
| 35 | KASPER Romy | 59 |
| 40 | HOSKING Chloe | 60 |
| 50 | BASTIANELLI Marta | 60 |
| 54 | LUO Xiao Ling | 68 |
| 57 | ANDRUK Alona | 56 |
| 68 | MIN Gao | 56 |