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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Guarnier
1
54 kgVos
2
58 kgJohansson
3
58 kgWild
5
75 kgBrennauer
6
63 kgArmstrong
7
58 kgStevens
8
55 kgPieters
10
58 kgAmialiusik
11
53 kgScandolara
13
52 kgEdwards
14
59 kgDygert
17
66 kgMarche
18
58 kgvan den Broek-Blaak
19
64 kgSanguineti
20
61 kgStephens
21
55 kgRowe
22
65 kgDuehring
24
54 kgHall
25
52 kgKiesanowski
26
56 kg
1
54 kgVos
2
58 kgJohansson
3
58 kgWild
5
75 kgBrennauer
6
63 kgArmstrong
7
58 kgStevens
8
55 kgPieters
10
58 kgAmialiusik
11
53 kgScandolara
13
52 kgEdwards
14
59 kgDygert
17
66 kgMarche
18
58 kgvan den Broek-Blaak
19
64 kgSanguineti
20
61 kgStephens
21
55 kgRowe
22
65 kgDuehring
24
54 kgHall
25
52 kgKiesanowski
26
56 kg
Weight (KG) →
Result →
75
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARNIER Megan | 54 |
| 2 | VOS Marianne | 58 |
| 3 | JOHANSSON Emma | 58 |
| 5 | WILD Kirsten | 75 |
| 6 | BRENNAUER Lisa | 63 |
| 7 | ARMSTRONG Kristin | 58 |
| 8 | STEVENS Evelyn | 55 |
| 10 | PIETERS Amy | 58 |
| 11 | AMIALIUSIK Alena | 53 |
| 13 | SCANDOLARA Valentina | 52 |
| 14 | EDWARDS Ruth | 59 |
| 17 | DYGERT Chloé | 66 |
| 18 | MARCHE Shara | 58 |
| 19 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 20 | SANGUINETI Ilaria | 61 |
| 21 | STEPHENS Lauren | 55 |
| 22 | ROWE Danielle | 65 |
| 24 | DUEHRING Jasmin | 54 |
| 25 | HALL Katie | 52 |
| 26 | KIESANOWSKI Joanne | 56 |