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 = 1.1 * weight - 23
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Hosking
2
60 kgJohansson
4
58 kgOlds
5
54 kgBastianelli
6
60 kgFrapporti
7
63 kgJeuland-Tranchant
9
61 kgMustonen
10
58 kgBronzini
11
54 kgConfalonieri
12
56 kgPieters
15
58 kgMartin
16
57 kgFournier
18
60 kgDiao
22
59 kgde Baat
23
56 kgGu
31
55 kgCecchini
32
52 kgMoberg
33
56 kgGilmore
37
56 kgMeng
41
65 kgNontasin
42
58 kgSomrat
44
56 kgBiannic
45
64 kgKessler
49
60 kgJasinska
50
57 kgWong Wan
52
54 kgWojtyra
54
70 kgKasper
55
59 kgCordon-Ragot
56
60 kgRiabchenko
57
57 kgRijkes
58
57 kgHoskins
60
64 kgGuderzo
61
54 kgScandolara
63
52 kgGunnewijk
66
67 kgvan den Broek-Blaak
67
64 kgLichtenberg
68
52 kgLongo Borghini
69
59 kgBartelloni
70
63 kgRoberts
73
61 kgMartisova
74
64 kgEdmondson
77
66 kgLiu
78
52 kgNuntana
81
55 kgHatteland Lima
87
65 kg
2
60 kgJohansson
4
58 kgOlds
5
54 kgBastianelli
6
60 kgFrapporti
7
63 kgJeuland-Tranchant
9
61 kgMustonen
10
58 kgBronzini
11
54 kgConfalonieri
12
56 kgPieters
15
58 kgMartin
16
57 kgFournier
18
60 kgDiao
22
59 kgde Baat
23
56 kgGu
31
55 kgCecchini
32
52 kgMoberg
33
56 kgGilmore
37
56 kgMeng
41
65 kgNontasin
42
58 kgSomrat
44
56 kgBiannic
45
64 kgKessler
49
60 kgJasinska
50
57 kgWong Wan
52
54 kgWojtyra
54
70 kgKasper
55
59 kgCordon-Ragot
56
60 kgRiabchenko
57
57 kgRijkes
58
57 kgHoskins
60
64 kgGuderzo
61
54 kgScandolara
63
52 kgGunnewijk
66
67 kgvan den Broek-Blaak
67
64 kgLichtenberg
68
52 kgLongo Borghini
69
59 kgBartelloni
70
63 kgRoberts
73
61 kgMartisova
74
64 kgEdmondson
77
66 kgLiu
78
52 kgNuntana
81
55 kgHatteland Lima
87
65 kg
Weight (KG) →
Result →
70
52
2
87
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOSKING Chloe | 60 |
| 4 | JOHANSSON Emma | 58 |
| 5 | OLDS Shelley | 54 |
| 6 | BASTIANELLI Marta | 60 |
| 7 | FRAPPORTI Simona | 63 |
| 9 | JEULAND-TRANCHANT Pascale | 61 |
| 10 | MUSTONEN Sara | 58 |
| 11 | BRONZINI Giorgia | 54 |
| 12 | CONFALONIERI Maria Giulia | 56 |
| 15 | PIETERS Amy | 58 |
| 16 | MARTIN Lucy | 57 |
| 18 | FOURNIER Roxane | 60 |
| 22 | DIAO Xiao Juan | 59 |
| 23 | DE BAAT Kim | 56 |
| 31 | GU Sungeun | 55 |
| 32 | CECCHINI Elena | 52 |
| 33 | MOBERG Emilie | 56 |
| 37 | GILMORE Rochelle | 56 |
| 41 | MENG Lang | 65 |
| 42 | NONTASIN Chanpeng | 58 |
| 44 | SOMRAT Phetdarin | 56 |
| 45 | BIANNIC Aude | 64 |
| 49 | KESSLER Nina | 60 |
| 50 | JASINSKA Małgorzata | 57 |
| 52 | WONG WAN Yiu | 54 |
| 54 | WOJTYRA Malgorzata | 70 |
| 55 | KASPER Romy | 59 |
| 56 | CORDON-RAGOT Audrey | 60 |
| 57 | RIABCHENKO Tetyana | 57 |
| 58 | RIJKES Sarah | 57 |
| 60 | HOSKINS Melissa | 64 |
| 61 | GUDERZO Tatiana | 54 |
| 63 | SCANDOLARA Valentina | 52 |
| 66 | GUNNEWIJK Loes | 67 |
| 67 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 68 | LICHTENBERG Claudia | 52 |
| 69 | LONGO BORGHINI Elisa | 59 |
| 70 | BARTELLONI Beatrice | 63 |
| 73 | ROBERTS Amy | 61 |
| 74 | MARTISOVA Julia | 64 |
| 77 | EDMONDSON Annette | 66 |
| 78 | LIU Xin | 52 |
| 81 | NUNTANA Supaksorn | 55 |
| 87 | HATTELAND LIMA Tone | 65 |