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 = -0.4 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Visser
1
59 kgGunnewijk
2
67 kgVos
3
58 kgTeutenberg
4
64 kgWild
5
75 kgJohansson
6
58 kgDe Vocht
7
61 kgZabelinskaya
9
52 kgBronzini
11
54 kgMoberg
12
56 kgOlds
13
54 kgArys
15
60 kgGilmore
17
56 kgSmall
18
55 kgKirchmann
20
59 kgvan Dijk
21
71 kgMustonen
23
58 kgBurchenkova
24
67 kgMartin
25
57 kgWilleit
28
54 kgGuarischi
30
57 kgKessler
31
60 kgKiesanowski
33
56 kgFahlin
38
63 kgHannes
45
51 kgGuarnier
46
54 kgvan den Broek-Blaak
47
64 kgBecker
48
64 kgBrand
49
57 kgSlappendel
50
67 kgLaws
58
54 kgAntoshina
64
55 kgCantele
70
58 kgLichtenberg
72
52 kgStevens
73
55 kgPieters
79
58 kgVžesniauskaitė
81
57 kgBoyarskaya
87
67 kgHatteland Lima
89
65 kg
1
59 kgGunnewijk
2
67 kgVos
3
58 kgTeutenberg
4
64 kgWild
5
75 kgJohansson
6
58 kgDe Vocht
7
61 kgZabelinskaya
9
52 kgBronzini
11
54 kgMoberg
12
56 kgOlds
13
54 kgArys
15
60 kgGilmore
17
56 kgSmall
18
55 kgKirchmann
20
59 kgvan Dijk
21
71 kgMustonen
23
58 kgBurchenkova
24
67 kgMartin
25
57 kgWilleit
28
54 kgGuarischi
30
57 kgKessler
31
60 kgKiesanowski
33
56 kgFahlin
38
63 kgHannes
45
51 kgGuarnier
46
54 kgvan den Broek-Blaak
47
64 kgBecker
48
64 kgBrand
49
57 kgSlappendel
50
67 kgLaws
58
54 kgAntoshina
64
55 kgCantele
70
58 kgLichtenberg
72
52 kgStevens
73
55 kgPieters
79
58 kgVžesniauskaitė
81
57 kgBoyarskaya
87
67 kgHatteland Lima
89
65 kg
Weight (KG) →
Result →
75
51
1
89
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISSER Adrie | 59 |
| 2 | GUNNEWIJK Loes | 67 |
| 3 | VOS Marianne | 58 |
| 4 | TEUTENBERG Ina-Yoko | 64 |
| 5 | WILD Kirsten | 75 |
| 6 | JOHANSSON Emma | 58 |
| 7 | DE VOCHT Liesbet | 61 |
| 9 | ZABELINSKAYA Olga | 52 |
| 11 | BRONZINI Giorgia | 54 |
| 12 | MOBERG Emilie | 56 |
| 13 | OLDS Shelley | 54 |
| 15 | ARYS Evelyn | 60 |
| 17 | GILMORE Rochelle | 56 |
| 18 | SMALL Carmen | 55 |
| 20 | KIRCHMANN Leah | 59 |
| 21 | VAN DIJK Ellen | 71 |
| 23 | MUSTONEN Sara | 58 |
| 24 | BURCHENKOVA Alexandra | 67 |
| 25 | MARTIN Lucy | 57 |
| 28 | WILLEIT Cherise | 54 |
| 30 | GUARISCHI Barbara | 57 |
| 31 | KESSLER Nina | 60 |
| 33 | KIESANOWSKI Joanne | 56 |
| 38 | FAHLIN Emilia | 63 |
| 45 | HANNES Kaat | 51 |
| 46 | GUARNIER Megan | 54 |
| 47 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 48 | BECKER Charlotte | 64 |
| 49 | BRAND Lucinda | 57 |
| 50 | SLAPPENDEL Iris | 67 |
| 58 | LAWS Sharon | 54 |
| 64 | ANTOSHINA Tatiana | 55 |
| 70 | CANTELE Noemi | 58 |
| 72 | LICHTENBERG Claudia | 52 |
| 73 | STEVENS Evelyn | 55 |
| 79 | PIETERS Amy | 58 |
| 81 | VŽESNIAUSKAITĖ Modesta | 57 |
| 87 | BOYARSKAYA Natalia | 67 |
| 89 | HATTELAND LIMA Tone | 65 |