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 + 54
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wiebes
1
60 kgKopecky
3
66 kgCopponi
6
55 kgPaternoster
8
53 kgConsonni
11
59 kgDideriksen
13
62 kgWood
14
59 kgPaladin
17
59 kgSchweinberger
19
63 kgGonzález
20
51 kgTeutenberg
25
53 kgFournier
27
60 kgCasagranda
28
58 kgDeignan
30
57 kgTacey
32
62 kgKasper
33
59 kgGreenwood
37
60 kgLeech
38
72 kgSkalniak-Sójka
41
54 kgConfalonieri
48
56 kgLach
49
59 kgGuarischi
52
57 kgBujak
56
63 kgKerbaol
61
57 kgBoogaard
65
59 kgVigié
68
58 kgCordon-Ragot
70
60 kgMajerus
74
56 kgBarker
77
56 kgKorevaar
78
59 kgFidanza
83
60 kgSanguineti
84
61 kgvan Bokhoven
87
51 kgPomares
88
63 kgBaker
91
66 kgBarbieri
92
55 kgTrevisi
95
54 kgCampbell
96
63 kgGerritse
98
59 kg
1
60 kgKopecky
3
66 kgCopponi
6
55 kgPaternoster
8
53 kgConsonni
11
59 kgDideriksen
13
62 kgWood
14
59 kgPaladin
17
59 kgSchweinberger
19
63 kgGonzález
20
51 kgTeutenberg
25
53 kgFournier
27
60 kgCasagranda
28
58 kgDeignan
30
57 kgTacey
32
62 kgKasper
33
59 kgGreenwood
37
60 kgLeech
38
72 kgSkalniak-Sójka
41
54 kgConfalonieri
48
56 kgLach
49
59 kgGuarischi
52
57 kgBujak
56
63 kgKerbaol
61
57 kgBoogaard
65
59 kgVigié
68
58 kgCordon-Ragot
70
60 kgMajerus
74
56 kgBarker
77
56 kgKorevaar
78
59 kgFidanza
83
60 kgSanguineti
84
61 kgvan Bokhoven
87
51 kgPomares
88
63 kgBaker
91
66 kgBarbieri
92
55 kgTrevisi
95
54 kgCampbell
96
63 kgGerritse
98
59 kg
Weight (KG) →
Result →
72
51
1
98
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
3 | KOPECKY Lotte | 66 |
6 | COPPONI Clara | 55 |
8 | PATERNOSTER Letizia | 53 |
11 | CONSONNI Chiara | 59 |
13 | DIDERIKSEN Amalie | 62 |
14 | WOOD Alice | 59 |
17 | PALADIN Soraya | 59 |
19 | SCHWEINBERGER Kathrin | 63 |
20 | GONZÁLEZ Alicia | 51 |
25 | TEUTENBERG Lea Lin | 53 |
27 | FOURNIER Roxane | 60 |
28 | CASAGRANDA Andrea | 58 |
30 | DEIGNAN Elizabeth | 57 |
32 | TACEY April | 62 |
33 | KASPER Romy | 59 |
37 | GREENWOOD Monica | 60 |
38 | LEECH Madelaine | 72 |
41 | SKALNIAK-SÓJKA Agnieszka | 54 |
48 | CONFALONIERI Maria Giulia | 56 |
49 | LACH Marta | 59 |
52 | GUARISCHI Barbara | 57 |
56 | BUJAK Eugenia | 63 |
61 | KERBAOL Cédrine | 57 |
65 | BOOGAARD Maaike | 59 |
68 | VIGIÉ Margaux | 58 |
70 | CORDON-RAGOT Audrey | 60 |
74 | MAJERUS Christine | 56 |
77 | BARKER Elinor | 56 |
78 | KOREVAAR Jeanne | 59 |
83 | FIDANZA Martina | 60 |
84 | SANGUINETI Ilaria | 61 |
87 | VAN BOKHOVEN Julia | 51 |
88 | POMARES Cindy | 63 |
91 | BAKER Georgia | 66 |
92 | BARBIERI Rachele | 55 |
95 | TREVISI Anna | 54 |
96 | CAMPBELL Teniel | 63 |
98 | GERRITSE Femke | 59 |