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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Vos
1
58 kgFerrand-Prévot
2
53 kgDeignan
3
57 kgvan der Breggen
4
56 kgvan Vleuten
5
59 kgLichtenberg
7
52 kgJohansson
8
58 kgvan den Broek-Blaak
10
64 kgMajerus
12
56 kgPawlowska
14
60 kgBrand
15
57 kgCecchini
16
52 kgGuarnier
17
54 kgCordon-Ragot
18
60 kgvan Dijk
19
71 kgPieters
21
58 kgScandolara
23
52 kgBrennauer
24
63 kgHosking
25
60 kg
1
58 kgFerrand-Prévot
2
53 kgDeignan
3
57 kgvan der Breggen
4
56 kgvan Vleuten
5
59 kgLichtenberg
7
52 kgJohansson
8
58 kgvan den Broek-Blaak
10
64 kgMajerus
12
56 kgPawlowska
14
60 kgBrand
15
57 kgCecchini
16
52 kgGuarnier
17
54 kgCordon-Ragot
18
60 kgvan Dijk
19
71 kgPieters
21
58 kgScandolara
23
52 kgBrennauer
24
63 kgHosking
25
60 kg
Weight (KG) →
Result →
71
52
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | FERRAND-PRÉVOT Pauline | 53 |
| 3 | DEIGNAN Elizabeth | 57 |
| 4 | VAN DER BREGGEN Anna | 56 |
| 5 | VAN VLEUTEN Annemiek | 59 |
| 7 | LICHTENBERG Claudia | 52 |
| 8 | JOHANSSON Emma | 58 |
| 10 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 12 | MAJERUS Christine | 56 |
| 14 | PAWLOWSKA Katarzyna | 60 |
| 15 | BRAND Lucinda | 57 |
| 16 | CECCHINI Elena | 52 |
| 17 | GUARNIER Megan | 54 |
| 18 | CORDON-RAGOT Audrey | 60 |
| 19 | VAN DIJK Ellen | 71 |
| 21 | PIETERS Amy | 58 |
| 23 | SCANDOLARA Valentina | 52 |
| 24 | BRENNAUER Lisa | 63 |
| 25 | HOSKING Chloe | 60 |