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 = -0.8 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Vos
1
58 kgvan den Broek-Blaak
2
64 kgvan Dijk
3
71 kgJackson
4
63 kgPieters
6
58 kgReusser
8
70 kgVollering
9
57 kgWood
10
59 kgBastianelli
11
60 kgKlein
13
61 kgBalsamo
14
55 kgAndersen
15
55 kgGrossetête
16
60 kgDideriksen
17
62 kgvan der Hulst
18
66 kgKoster
19
56 kgCopponi
20
55 kgGonzález
21
51 kgDuval
22
53 kgConsonni
23
59 kgHarris
24
57 kgSmulders
25
51 kgKorevaar
27
59 kg
1
58 kgvan den Broek-Blaak
2
64 kgvan Dijk
3
71 kgJackson
4
63 kgPieters
6
58 kgReusser
8
70 kgVollering
9
57 kgWood
10
59 kgBastianelli
11
60 kgKlein
13
61 kgBalsamo
14
55 kgAndersen
15
55 kgGrossetête
16
60 kgDideriksen
17
62 kgvan der Hulst
18
66 kgKoster
19
56 kgCopponi
20
55 kgGonzález
21
51 kgDuval
22
53 kgConsonni
23
59 kgHarris
24
57 kgSmulders
25
51 kgKorevaar
27
59 kg
Weight (KG) →
Result →
71
51
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | VAN DEN BROEK-BLAAK Chantal | 64 |
3 | VAN DIJK Ellen | 71 |
4 | JACKSON Alison | 63 |
6 | PIETERS Amy | 58 |
8 | REUSSER Marlen | 70 |
9 | VOLLERING Demi | 57 |
10 | WOOD Alice | 59 |
11 | BASTIANELLI Marta | 60 |
13 | KLEIN Lisa | 61 |
14 | BALSAMO Elisa | 55 |
15 | ANDERSEN Susanne | 55 |
16 | GROSSETÊTE Maëlle | 60 |
17 | DIDERIKSEN Amalie | 62 |
18 | VAN DER HULST Amber | 66 |
19 | KOSTER Anouska | 56 |
20 | COPPONI Clara | 55 |
21 | GONZÁLEZ Alicia | 51 |
22 | DUVAL Eugénie | 53 |
23 | CONSONNI Chiara | 59 |
24 | HARRIS Ella | 57 |
25 | SMULDERS Silke | 51 |
27 | KOREVAAR Jeanne | 59 |