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 = -0.1 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kopecky
1
66 kgMackaij
2
57 kgKoster
3
56 kgNeylan
4
52 kgLongo Borghini
6
59 kgLippert
7
56 kgHarris
10
57 kgMalcotti
14
52 kgDideriksen
23
62 kgGerritse
25
59 kgSmulders
26
51 kgVandenbulcke
27
60 kgSchweinberger
28
67 kgLudwig
29
55 kgEklund
30
58 kgKasper
31
59 kgDe Wilde
33
62 kgBeekhuis
34
58 kgShapira
36
58 kgNilsson
37
58 kgKraak
38
52 kgPirrone
42
63 kgStannard
45
55 kgDemey
49
56 kgPaternoster
52
53 kgWood
54
59 kgParkinson
62
51 kgHayes
64
55 kgBerton
66
59 kgDelbaere
70
51 kgD'hoore
78
63 kgde Boer
89
62 kg
1
66 kgMackaij
2
57 kgKoster
3
56 kgNeylan
4
52 kgLongo Borghini
6
59 kgLippert
7
56 kgHarris
10
57 kgMalcotti
14
52 kgDideriksen
23
62 kgGerritse
25
59 kgSmulders
26
51 kgVandenbulcke
27
60 kgSchweinberger
28
67 kgLudwig
29
55 kgEklund
30
58 kgKasper
31
59 kgDe Wilde
33
62 kgBeekhuis
34
58 kgShapira
36
58 kgNilsson
37
58 kgKraak
38
52 kgPirrone
42
63 kgStannard
45
55 kgDemey
49
56 kgPaternoster
52
53 kgWood
54
59 kgParkinson
62
51 kgHayes
64
55 kgBerton
66
59 kgDelbaere
70
51 kgD'hoore
78
63 kgde Boer
89
62 kg
Weight (KG) →
Result →
67
51
1
89
# | Rider | Weight (KG) |
---|---|---|
1 | KOPECKY Lotte | 66 |
2 | MACKAIJ Floortje | 57 |
3 | KOSTER Anouska | 56 |
4 | NEYLAN Rachel | 52 |
6 | LONGO BORGHINI Elisa | 59 |
7 | LIPPERT Liane | 56 |
10 | HARRIS Ella | 57 |
14 | MALCOTTI Barbara | 52 |
23 | DIDERIKSEN Amalie | 62 |
25 | GERRITSE Femke | 59 |
26 | SMULDERS Silke | 51 |
27 | VANDENBULCKE Jesse | 60 |
28 | SCHWEINBERGER Christina | 67 |
29 | LUDWIG Hannah | 55 |
30 | EKLUND Nathalie | 58 |
31 | KASPER Romy | 59 |
33 | DE WILDE Julie | 62 |
34 | BEEKHUIS Teuntje | 58 |
36 | SHAPIRA Omer | 58 |
37 | NILSSON Hanna | 58 |
38 | KRAAK Amber | 52 |
42 | PIRRONE Elena | 63 |
45 | STANNARD Elizabeth | 55 |
49 | DEMEY Valerie | 56 |
52 | PATERNOSTER Letizia | 53 |
54 | WOOD Alice | 59 |
62 | PARKINSON Abby-Mae | 51 |
64 | HAYES Connie | 55 |
66 | BERTON Nina | 59 |
70 | DELBAERE Fien | 51 |
78 | D'HOORE Jolien | 63 |
89 | DE BOER Manon | 62 |