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 = 0.5 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Wiebes
1
60 kgKopecky
3
66 kgPaternoster
4
53 kgCopponi
5
55 kgPaladin
6
59 kgFournier
9
60 kgConfalonieri
10
56 kgLach
11
59 kgGonzález
14
51 kgSchweinberger
15
63 kgSkalniak-Sójka
16
54 kgDeignan
18
57 kgCasagranda
24
58 kgKerbaol
25
57 kgKorevaar
26
59 kgBujak
29
63 kgCordon-Ragot
35
60 kgKasper
37
59 kgVigié
42
58 kgDideriksen
45
62 kgBaker
47
66 kgMajerus
52
56 kgConsonni
53
59 kgBoogaard
58
59 kgSanguineti
59
61 kgWood
61
59 kgGuarischi
62
57 kgLeech
65
72 kgGerritse
69
59 kgBarker
70
56 kgTrevisi
71
54 kgGreenwood
76
60 kgFidanza
81
60 kgvan Bokhoven
83
51 kgCampbell
85
63 kgTeutenberg
86
53 kgBarbieri
87
55 kgTacey
91
62 kgPomares
102
63 kg
1
60 kgKopecky
3
66 kgPaternoster
4
53 kgCopponi
5
55 kgPaladin
6
59 kgFournier
9
60 kgConfalonieri
10
56 kgLach
11
59 kgGonzález
14
51 kgSchweinberger
15
63 kgSkalniak-Sójka
16
54 kgDeignan
18
57 kgCasagranda
24
58 kgKerbaol
25
57 kgKorevaar
26
59 kgBujak
29
63 kgCordon-Ragot
35
60 kgKasper
37
59 kgVigié
42
58 kgDideriksen
45
62 kgBaker
47
66 kgMajerus
52
56 kgConsonni
53
59 kgBoogaard
58
59 kgSanguineti
59
61 kgWood
61
59 kgGuarischi
62
57 kgLeech
65
72 kgGerritse
69
59 kgBarker
70
56 kgTrevisi
71
54 kgGreenwood
76
60 kgFidanza
81
60 kgvan Bokhoven
83
51 kgCampbell
85
63 kgTeutenberg
86
53 kgBarbieri
87
55 kgTacey
91
62 kgPomares
102
63 kg
Weight (KG) →
Result →
72
51
1
102
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
3 | KOPECKY Lotte | 66 |
4 | PATERNOSTER Letizia | 53 |
5 | COPPONI Clara | 55 |
6 | PALADIN Soraya | 59 |
9 | FOURNIER Roxane | 60 |
10 | CONFALONIERI Maria Giulia | 56 |
11 | LACH Marta | 59 |
14 | GONZÁLEZ Alicia | 51 |
15 | SCHWEINBERGER Kathrin | 63 |
16 | SKALNIAK-SÓJKA Agnieszka | 54 |
18 | DEIGNAN Elizabeth | 57 |
24 | CASAGRANDA Andrea | 58 |
25 | KERBAOL Cédrine | 57 |
26 | KOREVAAR Jeanne | 59 |
29 | BUJAK Eugenia | 63 |
35 | CORDON-RAGOT Audrey | 60 |
37 | KASPER Romy | 59 |
42 | VIGIÉ Margaux | 58 |
45 | DIDERIKSEN Amalie | 62 |
47 | BAKER Georgia | 66 |
52 | MAJERUS Christine | 56 |
53 | CONSONNI Chiara | 59 |
58 | BOOGAARD Maaike | 59 |
59 | SANGUINETI Ilaria | 61 |
61 | WOOD Alice | 59 |
62 | GUARISCHI Barbara | 57 |
65 | LEECH Madelaine | 72 |
69 | GERRITSE Femke | 59 |
70 | BARKER Elinor | 56 |
71 | TREVISI Anna | 54 |
76 | GREENWOOD Monica | 60 |
81 | FIDANZA Martina | 60 |
83 | VAN BOKHOVEN Julia | 51 |
85 | CAMPBELL Teniel | 63 |
86 | TEUTENBERG Lea Lin | 53 |
87 | BARBIERI Rachele | 55 |
91 | TACEY April | 62 |
102 | POMARES Cindy | 63 |