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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
van der Breggen
1
56 kgKoedooder
2
69 kgMackaij
3
57 kgKitchen
4
60 kgWild
5
75 kgBrand
7
57 kgTenniglo
8
64 kgKoster
9
56 kgPieters
10
58 kgMagner
11
57 kgEnsing
12
62 kgKessler
13
60 kgKuijpers
15
73 kgDruyts
19
62 kgKorevaar
20
59 kgGuarischi
21
57 kgKröger
22
77 kgZabelinskaya
23
52 kgBarnes
26
52 kg
1
56 kgKoedooder
2
69 kgMackaij
3
57 kgKitchen
4
60 kgWild
5
75 kgBrand
7
57 kgTenniglo
8
64 kgKoster
9
56 kgPieters
10
58 kgMagner
11
57 kgEnsing
12
62 kgKessler
13
60 kgKuijpers
15
73 kgDruyts
19
62 kgKorevaar
20
59 kgGuarischi
21
57 kgKröger
22
77 kgZabelinskaya
23
52 kgBarnes
26
52 kg
Weight (KG) →
Result →
77
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER BREGGEN Anna | 56 |
| 2 | KOEDOODER Vera | 69 |
| 3 | MACKAIJ Floortje | 57 |
| 4 | KITCHEN Lauren | 60 |
| 5 | WILD Kirsten | 75 |
| 7 | BRAND Lucinda | 57 |
| 8 | TENNIGLO Moniek | 64 |
| 9 | KOSTER Anouska | 56 |
| 10 | PIETERS Amy | 58 |
| 11 | MAGNER Alexis | 57 |
| 12 | ENSING Janneke | 62 |
| 13 | KESSLER Nina | 60 |
| 15 | KUIJPERS Evy | 73 |
| 19 | DRUYTS Kelly | 62 |
| 20 | KOREVAAR Jeanne | 59 |
| 21 | GUARISCHI Barbara | 57 |
| 22 | KRÖGER Mieke | 77 |
| 23 | ZABELINSKAYA Olga | 52 |
| 26 | BARNES Hannah | 52 |