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 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
van Dijk
1
71 kgVisser
3
59 kgBecker
4
64 kgGunnewijk
5
67 kgSlappendel
6
67 kgCantele
9
58 kgScandolara
10
52 kgGilmore
13
56 kgBronzini
15
54 kgBiannic
18
64 kgFahlin
22
63 kgHosking
24
60 kgMeng
25
65 kgSandig
28
62 kgBastianelli
30
60 kgCecchini
34
52 kgSpratt
37
55 kgKitchen
38
60 kgCooke
39
58 kgBaccaille
40
61 kgKasper
44
59 kgHenrion
46
60 kgPieters
49
58 kgBraspennincx
51
76 kgLuo
52
68 kgStevens
53
55 kgRyan
57
59 kgSosna
58
76 kgBrennauer
62
63 kgMartin
68
57 kgJeuland-Tranchant
69
61 kgvan der Breggen
70
56 kgGuarischi
73
57 kgSmall
74
55 kgWong Wan
81
54 kgHuang
82
54 kgGuarnier
86
54 kg
1
71 kgVisser
3
59 kgBecker
4
64 kgGunnewijk
5
67 kgSlappendel
6
67 kgCantele
9
58 kgScandolara
10
52 kgGilmore
13
56 kgBronzini
15
54 kgBiannic
18
64 kgFahlin
22
63 kgHosking
24
60 kgMeng
25
65 kgSandig
28
62 kgBastianelli
30
60 kgCecchini
34
52 kgSpratt
37
55 kgKitchen
38
60 kgCooke
39
58 kgBaccaille
40
61 kgKasper
44
59 kgHenrion
46
60 kgPieters
49
58 kgBraspennincx
51
76 kgLuo
52
68 kgStevens
53
55 kgRyan
57
59 kgSosna
58
76 kgBrennauer
62
63 kgMartin
68
57 kgJeuland-Tranchant
69
61 kgvan der Breggen
70
56 kgGuarischi
73
57 kgSmall
74
55 kgWong Wan
81
54 kgHuang
82
54 kgGuarnier
86
54 kg
Weight (KG) →
Result →
76
52
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 3 | VISSER Adrie | 59 |
| 4 | BECKER Charlotte | 64 |
| 5 | GUNNEWIJK Loes | 67 |
| 6 | SLAPPENDEL Iris | 67 |
| 9 | CANTELE Noemi | 58 |
| 10 | SCANDOLARA Valentina | 52 |
| 13 | GILMORE Rochelle | 56 |
| 15 | BRONZINI Giorgia | 54 |
| 18 | BIANNIC Aude | 64 |
| 22 | FAHLIN Emilia | 63 |
| 24 | HOSKING Chloe | 60 |
| 25 | MENG Lang | 65 |
| 28 | SANDIG Madeleine | 62 |
| 30 | BASTIANELLI Marta | 60 |
| 34 | CECCHINI Elena | 52 |
| 37 | SPRATT Amanda | 55 |
| 38 | KITCHEN Lauren | 60 |
| 39 | COOKE Nicole | 58 |
| 40 | BACCAILLE Monia | 61 |
| 44 | KASPER Romy | 59 |
| 46 | HENRION Ludivine | 60 |
| 49 | PIETERS Amy | 58 |
| 51 | BRASPENNINCX Shanne | 76 |
| 52 | LUO Xiao Ling | 68 |
| 53 | STEVENS Evelyn | 55 |
| 57 | RYAN Kendall | 59 |
| 58 | SOSNA Katazyna | 76 |
| 62 | BRENNAUER Lisa | 63 |
| 68 | MARTIN Lucy | 57 |
| 69 | JEULAND-TRANCHANT Pascale | 61 |
| 70 | VAN DER BREGGEN Anna | 56 |
| 73 | GUARISCHI Barbara | 57 |
| 74 | SMALL Carmen | 55 |
| 81 | WONG WAN Yiu | 54 |
| 82 | HUANG Li | 54 |
| 86 | GUARNIER Megan | 54 |