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 = -0.7 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Bertizzolo
1
54 kgFortin
2
55 kgConsonni
3
59 kgBujak
4
63 kgZanardi
6
56 kgKopecky
7
66 kgJounier
8
58 kgSanguineti
20
61 kgCavalli
21
53 kgGrossetête
28
60 kgPomares
33
63 kgVerhulst-Wild
34
58 kgAllin
35
58 kgAlzini
37
64 kgRooijakkers
43
58 kgTeruel
45
56 kgBiannic
46
64 kgRodríguez
47
57 kgErić
48
53 kgLaurance
50
62 kgStannard
57
55 kgVitillo
58
51 kgValsecchi
59
58 kg
1
54 kgFortin
2
55 kgConsonni
3
59 kgBujak
4
63 kgZanardi
6
56 kgKopecky
7
66 kgJounier
8
58 kgSanguineti
20
61 kgCavalli
21
53 kgGrossetête
28
60 kgPomares
33
63 kgVerhulst-Wild
34
58 kgAllin
35
58 kgAlzini
37
64 kgRooijakkers
43
58 kgTeruel
45
56 kgBiannic
46
64 kgRodríguez
47
57 kgErić
48
53 kgLaurance
50
62 kgStannard
57
55 kgVitillo
58
51 kgValsecchi
59
58 kg
Weight (KG) →
Result →
66
51
1
59
# | Rider | Weight (KG) |
---|---|---|
1 | BERTIZZOLO Sofia | 54 |
2 | FORTIN Valentine | 55 |
3 | CONSONNI Chiara | 59 |
4 | BUJAK Eugenia | 63 |
6 | ZANARDI Silvia | 56 |
7 | KOPECKY Lotte | 66 |
8 | JOUNIER Lucie | 58 |
20 | SANGUINETI Ilaria | 61 |
21 | CAVALLI Marta | 53 |
28 | GROSSETÊTE Maëlle | 60 |
33 | POMARES Cindy | 63 |
34 | VERHULST-WILD Gladys | 58 |
35 | ALLIN Pauline | 58 |
37 | ALZINI Martina | 64 |
43 | ROOIJAKKERS Pauliena | 58 |
45 | TERUEL Alba | 56 |
46 | BIANNIC Aude | 64 |
47 | RODRÍGUEZ Gloria | 57 |
48 | ERIĆ Jelena | 53 |
50 | LAURANCE Typhaine | 62 |
57 | STANNARD Elizabeth | 55 |
58 | VITILLO Matilde | 51 |
59 | VALSECCHI Silvia | 58 |