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 = 2.1 * weight - 84
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Confalonieri
2
56 kgNeylan
4
52 kgKastelijn
5
52 kgStannard
6
55 kgWiebes
7
60 kgAdegeest
8
57 kgCouzens
12
59 kgBoogaard
14
59 kgPirrone
20
63 kgFortin
27
55 kgSanguineti
30
61 kgAlzini
39
64 kgHayes
41
55 kgTruyen
43
55 kgGerritse
45
59 kgDocx
48
52 kgBerteau
52
57 kgKerbaol
53
57 kgRožlapa
71
63 kgBrouckaert
81
55 kgFidanza
93
60 kgvan Neck
94
63 kgde Baat
97
56 kg
2
56 kgNeylan
4
52 kgKastelijn
5
52 kgStannard
6
55 kgWiebes
7
60 kgAdegeest
8
57 kgCouzens
12
59 kgBoogaard
14
59 kgPirrone
20
63 kgFortin
27
55 kgSanguineti
30
61 kgAlzini
39
64 kgHayes
41
55 kgTruyen
43
55 kgGerritse
45
59 kgDocx
48
52 kgBerteau
52
57 kgKerbaol
53
57 kgRožlapa
71
63 kgBrouckaert
81
55 kgFidanza
93
60 kgvan Neck
94
63 kgde Baat
97
56 kg
Weight (KG) →
Result →
64
52
2
97
# | Rider | Weight (KG) |
---|---|---|
2 | CONFALONIERI Maria Giulia | 56 |
4 | NEYLAN Rachel | 52 |
5 | KASTELIJN Yara | 52 |
6 | STANNARD Elizabeth | 55 |
7 | WIEBES Lorena | 60 |
8 | ADEGEEST Loes | 57 |
12 | COUZENS Millie | 59 |
14 | BOOGAARD Maaike | 59 |
20 | PIRRONE Elena | 63 |
27 | FORTIN Valentine | 55 |
30 | SANGUINETI Ilaria | 61 |
39 | ALZINI Martina | 64 |
41 | HAYES Connie | 55 |
43 | TRUYEN Marthe | 55 |
45 | GERRITSE Femke | 59 |
48 | DOCX Mieke | 52 |
52 | BERTEAU Victoire | 57 |
53 | KERBAOL Cédrine | 57 |
71 | ROŽLAPA Dana | 63 |
81 | BROUCKAERT Sophie | 55 |
93 | FIDANZA Martina | 60 |
94 | VAN NECK Melissa | 63 |
97 | DE BAAT Kim | 56 |