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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Brand
1
57 kgWild
2
75 kgD'hoore
3
63 kgMajerus
5
56 kgBrennauer
6
63 kgvan der Breggen
7
56 kgGuarischi
8
57 kgvan Dijk
9
71 kgDeignan
10
57 kgHosking
12
60 kgHoskins
13
64 kgAmialiusik
14
53 kgKoster
15
56 kgElvin
16
63 kgMustonen
17
58 kgNorman Leth
19
68 kgvan den Broek-Blaak
20
64 kgMackaij
21
57 kgEnsing
22
62 kgSmall
23
55 kg
1
57 kgWild
2
75 kgD'hoore
3
63 kgMajerus
5
56 kgBrennauer
6
63 kgvan der Breggen
7
56 kgGuarischi
8
57 kgvan Dijk
9
71 kgDeignan
10
57 kgHosking
12
60 kgHoskins
13
64 kgAmialiusik
14
53 kgKoster
15
56 kgElvin
16
63 kgMustonen
17
58 kgNorman Leth
19
68 kgvan den Broek-Blaak
20
64 kgMackaij
21
57 kgEnsing
22
62 kgSmall
23
55 kg
Weight (KG) →
Result →
75
53
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAND Lucinda | 57 |
| 2 | WILD Kirsten | 75 |
| 3 | D'HOORE Jolien | 63 |
| 5 | MAJERUS Christine | 56 |
| 6 | BRENNAUER Lisa | 63 |
| 7 | VAN DER BREGGEN Anna | 56 |
| 8 | GUARISCHI Barbara | 57 |
| 9 | VAN DIJK Ellen | 71 |
| 10 | DEIGNAN Elizabeth | 57 |
| 12 | HOSKING Chloe | 60 |
| 13 | HOSKINS Melissa | 64 |
| 14 | AMIALIUSIK Alena | 53 |
| 15 | KOSTER Anouska | 56 |
| 16 | ELVIN Gracie | 63 |
| 17 | MUSTONEN Sara | 58 |
| 19 | NORMAN LETH Julie | 68 |
| 20 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 21 | MACKAIJ Floortje | 57 |
| 22 | ENSING Janneke | 62 |
| 23 | SMALL Carmen | 55 |