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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Reusser
1
70 kgVollering
2
57 kgBaril
4
56 kgLippert
5
56 kgvan Vleuten
7
59 kgPaladin
8
59 kgAdegeest
9
57 kgSteels
10
55 kgKraak
11
52 kgKiesenhofer
12
54 kgVas
13
51 kgCavalli
14
53 kgMartín
16
58 kgRooijakkers
19
58 kgArzuffi
20
52 kgGutiérrez
21
60 kgNorsgaard
23
65 kg
1
70 kgVollering
2
57 kgBaril
4
56 kgLippert
5
56 kgvan Vleuten
7
59 kgPaladin
8
59 kgAdegeest
9
57 kgSteels
10
55 kgKraak
11
52 kgKiesenhofer
12
54 kgVas
13
51 kgCavalli
14
53 kgMartín
16
58 kgRooijakkers
19
58 kgArzuffi
20
52 kgGutiérrez
21
60 kgNorsgaard
23
65 kg
Weight (KG) →
Result →
70
51
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUSSER Marlen | 70 |
| 2 | VOLLERING Demi | 57 |
| 4 | BARIL Olivia | 56 |
| 5 | LIPPERT Liane | 56 |
| 7 | VAN VLEUTEN Annemiek | 59 |
| 8 | PALADIN Soraya | 59 |
| 9 | ADEGEEST Loes | 57 |
| 10 | STEELS Claire | 55 |
| 11 | KRAAK Amber | 52 |
| 12 | KIESENHOFER Anna | 54 |
| 13 | VAS Blanka | 51 |
| 14 | CAVALLI Marta | 53 |
| 16 | MARTÍN Sara | 58 |
| 19 | ROOIJAKKERS Pauliena | 58 |
| 20 | ARZUFFI Alice Maria | 52 |
| 21 | GUTIÉRREZ Sheyla | 60 |
| 23 | NORSGAARD Emma | 65 |