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 = 1.4 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Riabchenko
1
57 kgBronzini
2
54 kgPieters
3
58 kgJohansson
4
58 kgMustonen
5
58 kgBastianelli
7
60 kgde Baat
8
56 kgMartisova
10
64 kgGilmore
12
56 kgJeuland-Tranchant
14
61 kgHosking
15
60 kgCecchini
16
52 kgFournier
17
60 kgLongo Borghini
20
59 kgMartin
22
57 kgMoberg
23
56 kgConfalonieri
26
56 kgDiao
29
59 kgScandolara
30
52 kgHoskins
31
64 kgEdmondson
37
66 kgFrapporti
40
63 kgNuntana
42
55 kgBartelloni
45
63 kgKasper
46
59 kgKessler
47
60 kgLichtenberg
48
52 kgWojtyra
50
70 kgvan den Broek-Blaak
51
64 kgJasinska
52
57 kgGuderzo
53
54 kgGu
54
55 kgOlds
55
54 kgNontasin
58
58 kgMeng
60
65 kgWong Wan
67
54 kgGunnewijk
73
67 kgCordon-Ragot
80
60 kgBiannic
81
64 kgRoberts
83
61 kg
1
57 kgBronzini
2
54 kgPieters
3
58 kgJohansson
4
58 kgMustonen
5
58 kgBastianelli
7
60 kgde Baat
8
56 kgMartisova
10
64 kgGilmore
12
56 kgJeuland-Tranchant
14
61 kgHosking
15
60 kgCecchini
16
52 kgFournier
17
60 kgLongo Borghini
20
59 kgMartin
22
57 kgMoberg
23
56 kgConfalonieri
26
56 kgDiao
29
59 kgScandolara
30
52 kgHoskins
31
64 kgEdmondson
37
66 kgFrapporti
40
63 kgNuntana
42
55 kgBartelloni
45
63 kgKasper
46
59 kgKessler
47
60 kgLichtenberg
48
52 kgWojtyra
50
70 kgvan den Broek-Blaak
51
64 kgJasinska
52
57 kgGuderzo
53
54 kgGu
54
55 kgOlds
55
54 kgNontasin
58
58 kgMeng
60
65 kgWong Wan
67
54 kgGunnewijk
73
67 kgCordon-Ragot
80
60 kgBiannic
81
64 kgRoberts
83
61 kg
Weight (KG) →
Result →
70
52
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIABCHENKO Tetyana | 57 |
| 2 | BRONZINI Giorgia | 54 |
| 3 | PIETERS Amy | 58 |
| 4 | JOHANSSON Emma | 58 |
| 5 | MUSTONEN Sara | 58 |
| 7 | BASTIANELLI Marta | 60 |
| 8 | DE BAAT Kim | 56 |
| 10 | MARTISOVA Julia | 64 |
| 12 | GILMORE Rochelle | 56 |
| 14 | JEULAND-TRANCHANT Pascale | 61 |
| 15 | HOSKING Chloe | 60 |
| 16 | CECCHINI Elena | 52 |
| 17 | FOURNIER Roxane | 60 |
| 20 | LONGO BORGHINI Elisa | 59 |
| 22 | MARTIN Lucy | 57 |
| 23 | MOBERG Emilie | 56 |
| 26 | CONFALONIERI Maria Giulia | 56 |
| 29 | DIAO Xiao Juan | 59 |
| 30 | SCANDOLARA Valentina | 52 |
| 31 | HOSKINS Melissa | 64 |
| 37 | EDMONDSON Annette | 66 |
| 40 | FRAPPORTI Simona | 63 |
| 42 | NUNTANA Supaksorn | 55 |
| 45 | BARTELLONI Beatrice | 63 |
| 46 | KASPER Romy | 59 |
| 47 | KESSLER Nina | 60 |
| 48 | LICHTENBERG Claudia | 52 |
| 50 | WOJTYRA Malgorzata | 70 |
| 51 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 52 | JASINSKA Małgorzata | 57 |
| 53 | GUDERZO Tatiana | 54 |
| 54 | GU Sungeun | 55 |
| 55 | OLDS Shelley | 54 |
| 58 | NONTASIN Chanpeng | 58 |
| 60 | MENG Lang | 65 |
| 67 | WONG WAN Yiu | 54 |
| 73 | GUNNEWIJK Loes | 67 |
| 80 | CORDON-RAGOT Audrey | 60 |
| 81 | BIANNIC Aude | 64 |
| 83 | ROBERTS Amy | 61 |