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 = 0.6 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Vos
1
58 kgBronzini
2
54 kgOlds
3
54 kgWild
4
75 kgGilmore
5
56 kgSmall
6
55 kgMustonen
8
58 kgMoberg
10
56 kgWilleit
11
54 kgDe Vocht
14
61 kgVisser
16
59 kgGunnewijk
19
67 kgBurchenkova
21
67 kgArys
22
60 kgKessler
23
60 kgTeutenberg
24
64 kgMartin
27
57 kgKirchmann
28
59 kgHannes
31
51 kgJohansson
32
58 kgLaws
35
54 kgAntoshina
41
55 kgGuarnier
43
54 kgKiesanowski
44
56 kgGuarischi
46
57 kgvan Dijk
49
71 kgZabelinskaya
50
52 kgPieters
52
58 kgFahlin
57
63 kgVžesniauskaitė
63
57 kgvan den Broek-Blaak
77
64 kgBecker
79
64 kgBrand
80
57 kgCantele
81
58 kgStevens
83
55 kgBoyarskaya
84
67 kgHatteland Lima
85
65 kgSlappendel
87
67 kgLichtenberg
88
52 kg
1
58 kgBronzini
2
54 kgOlds
3
54 kgWild
4
75 kgGilmore
5
56 kgSmall
6
55 kgMustonen
8
58 kgMoberg
10
56 kgWilleit
11
54 kgDe Vocht
14
61 kgVisser
16
59 kgGunnewijk
19
67 kgBurchenkova
21
67 kgArys
22
60 kgKessler
23
60 kgTeutenberg
24
64 kgMartin
27
57 kgKirchmann
28
59 kgHannes
31
51 kgJohansson
32
58 kgLaws
35
54 kgAntoshina
41
55 kgGuarnier
43
54 kgKiesanowski
44
56 kgGuarischi
46
57 kgvan Dijk
49
71 kgZabelinskaya
50
52 kgPieters
52
58 kgFahlin
57
63 kgVžesniauskaitė
63
57 kgvan den Broek-Blaak
77
64 kgBecker
79
64 kgBrand
80
57 kgCantele
81
58 kgStevens
83
55 kgBoyarskaya
84
67 kgHatteland Lima
85
65 kgSlappendel
87
67 kgLichtenberg
88
52 kg
Weight (KG) →
Result →
75
51
1
88
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | BRONZINI Giorgia | 54 |
| 3 | OLDS Shelley | 54 |
| 4 | WILD Kirsten | 75 |
| 5 | GILMORE Rochelle | 56 |
| 6 | SMALL Carmen | 55 |
| 8 | MUSTONEN Sara | 58 |
| 10 | MOBERG Emilie | 56 |
| 11 | WILLEIT Cherise | 54 |
| 14 | DE VOCHT Liesbet | 61 |
| 16 | VISSER Adrie | 59 |
| 19 | GUNNEWIJK Loes | 67 |
| 21 | BURCHENKOVA Alexandra | 67 |
| 22 | ARYS Evelyn | 60 |
| 23 | KESSLER Nina | 60 |
| 24 | TEUTENBERG Ina-Yoko | 64 |
| 27 | MARTIN Lucy | 57 |
| 28 | KIRCHMANN Leah | 59 |
| 31 | HANNES Kaat | 51 |
| 32 | JOHANSSON Emma | 58 |
| 35 | LAWS Sharon | 54 |
| 41 | ANTOSHINA Tatiana | 55 |
| 43 | GUARNIER Megan | 54 |
| 44 | KIESANOWSKI Joanne | 56 |
| 46 | GUARISCHI Barbara | 57 |
| 49 | VAN DIJK Ellen | 71 |
| 50 | ZABELINSKAYA Olga | 52 |
| 52 | PIETERS Amy | 58 |
| 57 | FAHLIN Emilia | 63 |
| 63 | VŽESNIAUSKAITĖ Modesta | 57 |
| 77 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 79 | BECKER Charlotte | 64 |
| 80 | BRAND Lucinda | 57 |
| 81 | CANTELE Noemi | 58 |
| 83 | STEVENS Evelyn | 55 |
| 84 | BOYARSKAYA Natalia | 67 |
| 85 | HATTELAND LIMA Tone | 65 |
| 87 | SLAPPENDEL Iris | 67 |
| 88 | LICHTENBERG Claudia | 52 |