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 = 0.2 * weight + 37
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wiebes
1
60 kgKopecky
3
66 kgPaternoster
4
53 kgPaladin
5
59 kgConfalonieri
6
56 kgCopponi
9
55 kgFournier
10
60 kgGonzález
14
51 kgLach
16
59 kgSchweinberger
17
63 kgSkalniak-Sójka
18
54 kgDeignan
19
57 kgKorevaar
21
59 kgKerbaol
25
57 kgBujak
26
63 kgCasagranda
31
58 kgVigié
39
58 kgCordon-Ragot
42
60 kgKasper
43
59 kgDideriksen
46
62 kgBaker
49
66 kgMajerus
56
56 kgLeech
61
72 kgWood
62
59 kgTrevisi
63
54 kgGuarischi
64
57 kgConsonni
65
59 kgSanguineti
66
61 kgBoogaard
70
59 kgGerritse
73
59 kgBarker
75
56 kgGreenwood
80
60 kgTeutenberg
84
53 kgCampbell
85
63 kgFidanza
86
60 kgvan Bokhoven
87
51 kgBarbieri
89
55 kgTacey
93
62 kgPomares
94
63 kgHayes
95
55 kg
1
60 kgKopecky
3
66 kgPaternoster
4
53 kgPaladin
5
59 kgConfalonieri
6
56 kgCopponi
9
55 kgFournier
10
60 kgGonzález
14
51 kgLach
16
59 kgSchweinberger
17
63 kgSkalniak-Sójka
18
54 kgDeignan
19
57 kgKorevaar
21
59 kgKerbaol
25
57 kgBujak
26
63 kgCasagranda
31
58 kgVigié
39
58 kgCordon-Ragot
42
60 kgKasper
43
59 kgDideriksen
46
62 kgBaker
49
66 kgMajerus
56
56 kgLeech
61
72 kgWood
62
59 kgTrevisi
63
54 kgGuarischi
64
57 kgConsonni
65
59 kgSanguineti
66
61 kgBoogaard
70
59 kgGerritse
73
59 kgBarker
75
56 kgGreenwood
80
60 kgTeutenberg
84
53 kgCampbell
85
63 kgFidanza
86
60 kgvan Bokhoven
87
51 kgBarbieri
89
55 kgTacey
93
62 kgPomares
94
63 kgHayes
95
55 kg
Weight (KG) →
Result →
72
51
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 3 | KOPECKY Lotte | 66 |
| 4 | PATERNOSTER Letizia | 53 |
| 5 | PALADIN Soraya | 59 |
| 6 | CONFALONIERI Maria Giulia | 56 |
| 9 | COPPONI Clara | 55 |
| 10 | FOURNIER Roxane | 60 |
| 14 | GONZÁLEZ Alicia | 51 |
| 16 | LACH Marta | 59 |
| 17 | SCHWEINBERGER Kathrin | 63 |
| 18 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 19 | DEIGNAN Elizabeth | 57 |
| 21 | KOREVAAR Jeanne | 59 |
| 25 | KERBAOL Cédrine | 57 |
| 26 | BUJAK Eugenia | 63 |
| 31 | CASAGRANDA Andrea | 58 |
| 39 | VIGIÉ Margaux | 58 |
| 42 | CORDON-RAGOT Audrey | 60 |
| 43 | KASPER Romy | 59 |
| 46 | DIDERIKSEN Amalie | 62 |
| 49 | BAKER Georgia | 66 |
| 56 | MAJERUS Christine | 56 |
| 61 | LEECH Madelaine | 72 |
| 62 | WOOD Alice | 59 |
| 63 | TREVISI Anna | 54 |
| 64 | GUARISCHI Barbara | 57 |
| 65 | CONSONNI Chiara | 59 |
| 66 | SANGUINETI Ilaria | 61 |
| 70 | BOOGAARD Maaike | 59 |
| 73 | GERRITSE Femke | 59 |
| 75 | BARKER Elinor | 56 |
| 80 | GREENWOOD Monica | 60 |
| 84 | TEUTENBERG Lea Lin | 53 |
| 85 | CAMPBELL Teniel | 63 |
| 86 | FIDANZA Martina | 60 |
| 87 | VAN BOKHOVEN Julia | 51 |
| 89 | BARBIERI Rachele | 55 |
| 93 | TACEY April | 62 |
| 94 | POMARES Cindy | 63 |
| 95 | HAYES Connie | 55 |