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 + 2
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Wiebes
1
60 kgPaternoster
2
53 kgCopponi
3
55 kgConfalonieri
4
56 kgKopecky
7
66 kgPaladin
10
59 kgFournier
11
60 kgLach
12
59 kgBaker
13
66 kgGonzález
15
51 kgSkalniak-Sójka
18
54 kgKorevaar
19
59 kgGreenwood
20
60 kgSchweinberger
22
63 kgConsonni
27
59 kgKerbaol
28
57 kgKasper
33
59 kgDeignan
36
57 kgMajerus
40
56 kgCordon-Ragot
43
60 kgCasagranda
48
58 kgBarker
49
56 kgBujak
50
63 kgTacey
58
62 kgBoogaard
60
59 kgSanguineti
62
61 kgVigié
69
58 kgDideriksen
70
62 kgWood
72
59 kgBarbieri
74
55 kgGuarischi
75
57 kgCampbell
76
63 kgGerritse
80
59 kgTrevisi
84
54 kgLeech
87
72 kgFidanza
96
60 kgvan Bokhoven
97
51 kgKarasiewicz
99
69 kgTeutenberg
103
53 kgHayes
104
55 kgAchtereekte
107
60 kgPomares
112
63 kg
1
60 kgPaternoster
2
53 kgCopponi
3
55 kgConfalonieri
4
56 kgKopecky
7
66 kgPaladin
10
59 kgFournier
11
60 kgLach
12
59 kgBaker
13
66 kgGonzález
15
51 kgSkalniak-Sójka
18
54 kgKorevaar
19
59 kgGreenwood
20
60 kgSchweinberger
22
63 kgConsonni
27
59 kgKerbaol
28
57 kgKasper
33
59 kgDeignan
36
57 kgMajerus
40
56 kgCordon-Ragot
43
60 kgCasagranda
48
58 kgBarker
49
56 kgBujak
50
63 kgTacey
58
62 kgBoogaard
60
59 kgSanguineti
62
61 kgVigié
69
58 kgDideriksen
70
62 kgWood
72
59 kgBarbieri
74
55 kgGuarischi
75
57 kgCampbell
76
63 kgGerritse
80
59 kgTrevisi
84
54 kgLeech
87
72 kgFidanza
96
60 kgvan Bokhoven
97
51 kgKarasiewicz
99
69 kgTeutenberg
103
53 kgHayes
104
55 kgAchtereekte
107
60 kgPomares
112
63 kg
Weight (KG) →
Result →
72
51
1
112
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
2 | PATERNOSTER Letizia | 53 |
3 | COPPONI Clara | 55 |
4 | CONFALONIERI Maria Giulia | 56 |
7 | KOPECKY Lotte | 66 |
10 | PALADIN Soraya | 59 |
11 | FOURNIER Roxane | 60 |
12 | LACH Marta | 59 |
13 | BAKER Georgia | 66 |
15 | GONZÁLEZ Alicia | 51 |
18 | SKALNIAK-SÓJKA Agnieszka | 54 |
19 | KOREVAAR Jeanne | 59 |
20 | GREENWOOD Monica | 60 |
22 | SCHWEINBERGER Kathrin | 63 |
27 | CONSONNI Chiara | 59 |
28 | KERBAOL Cédrine | 57 |
33 | KASPER Romy | 59 |
36 | DEIGNAN Elizabeth | 57 |
40 | MAJERUS Christine | 56 |
43 | CORDON-RAGOT Audrey | 60 |
48 | CASAGRANDA Andrea | 58 |
49 | BARKER Elinor | 56 |
50 | BUJAK Eugenia | 63 |
58 | TACEY April | 62 |
60 | BOOGAARD Maaike | 59 |
62 | SANGUINETI Ilaria | 61 |
69 | VIGIÉ Margaux | 58 |
70 | DIDERIKSEN Amalie | 62 |
72 | WOOD Alice | 59 |
74 | BARBIERI Rachele | 55 |
75 | GUARISCHI Barbara | 57 |
76 | CAMPBELL Teniel | 63 |
80 | GERRITSE Femke | 59 |
84 | TREVISI Anna | 54 |
87 | LEECH Madelaine | 72 |
96 | FIDANZA Martina | 60 |
97 | VAN BOKHOVEN Julia | 51 |
99 | KARASIEWICZ Karolina | 69 |
103 | TEUTENBERG Lea Lin | 53 |
104 | HAYES Connie | 55 |
107 | ACHTEREEKTE Carlijn | 60 |
112 | POMARES Cindy | 63 |