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 + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Wild
1
75 kgvan Dijk
2
71 kgVisser
3
59 kgBrennauer
4
63 kgSlappendel
5
67 kgGunnewijk
6
67 kgHosking
7
60 kgvan der Breggen
8
56 kgNeff
10
53 kgvan Vleuten
11
59 kgMajerus
12
56 kgRowe
13
65 kgDeignan
14
57 kgSmall
16
55 kgElvin
17
63 kgKitchen
18
60 kgD'hoore
19
63 kgArys
20
60 kgBrand
21
57 kgKoster
22
56 kg
1
75 kgvan Dijk
2
71 kgVisser
3
59 kgBrennauer
4
63 kgSlappendel
5
67 kgGunnewijk
6
67 kgHosking
7
60 kgvan der Breggen
8
56 kgNeff
10
53 kgvan Vleuten
11
59 kgMajerus
12
56 kgRowe
13
65 kgDeignan
14
57 kgSmall
16
55 kgElvin
17
63 kgKitchen
18
60 kgD'hoore
19
63 kgArys
20
60 kgBrand
21
57 kgKoster
22
56 kg
Weight (KG) →
Result →
75
53
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | VISSER Adrie | 59 |
| 4 | BRENNAUER Lisa | 63 |
| 5 | SLAPPENDEL Iris | 67 |
| 6 | GUNNEWIJK Loes | 67 |
| 7 | HOSKING Chloe | 60 |
| 8 | VAN DER BREGGEN Anna | 56 |
| 10 | NEFF Jolanda | 53 |
| 11 | VAN VLEUTEN Annemiek | 59 |
| 12 | MAJERUS Christine | 56 |
| 13 | ROWE Danielle | 65 |
| 14 | DEIGNAN Elizabeth | 57 |
| 16 | SMALL Carmen | 55 |
| 17 | ELVIN Gracie | 63 |
| 18 | KITCHEN Lauren | 60 |
| 19 | D'HOORE Jolien | 63 |
| 20 | ARYS Evelyn | 60 |
| 21 | BRAND Lucinda | 57 |
| 22 | KOSTER Anouska | 56 |