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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Armstrong
1
58 kgSoeder
2
52 kgVillumsen
3
59 kgArndt
5
59 kgDoppmann
6
55 kgvan Dijk
8
71 kgGunnewijk
9
67 kgBecker
11
64 kgWild
12
75 kgMelchers
14
59 kgVos
15
58 kgJohansson
17
58 kgValen
20
62 kgLichtenberg
21
52 kgDe Vocht
24
61 kgSlappendel
26
67 kgBaccaille
33
61 kgBeltman
34
68 kgHenrion
42
60 kgBrzeźna
43
56 kgVisser
46
59 kgSels
58
65 kgBronzini
62
54 kg
1
58 kgSoeder
2
52 kgVillumsen
3
59 kgArndt
5
59 kgDoppmann
6
55 kgvan Dijk
8
71 kgGunnewijk
9
67 kgBecker
11
64 kgWild
12
75 kgMelchers
14
59 kgVos
15
58 kgJohansson
17
58 kgValen
20
62 kgLichtenberg
21
52 kgDe Vocht
24
61 kgSlappendel
26
67 kgBaccaille
33
61 kgBeltman
34
68 kgHenrion
42
60 kgBrzeźna
43
56 kgVisser
46
59 kgSels
58
65 kgBronzini
62
54 kg
Weight (KG) →
Result →
75
52
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Kristin | 58 |
| 2 | SOEDER Christiane | 52 |
| 3 | VILLUMSEN Linda | 59 |
| 5 | ARNDT Judith | 59 |
| 6 | DOPPMANN Priska | 55 |
| 8 | VAN DIJK Ellen | 71 |
| 9 | GUNNEWIJK Loes | 67 |
| 11 | BECKER Charlotte | 64 |
| 12 | WILD Kirsten | 75 |
| 14 | MELCHERS Mirjam | 59 |
| 15 | VOS Marianne | 58 |
| 17 | JOHANSSON Emma | 58 |
| 20 | VALEN Anita | 62 |
| 21 | LICHTENBERG Claudia | 52 |
| 24 | DE VOCHT Liesbet | 61 |
| 26 | SLAPPENDEL Iris | 67 |
| 33 | BACCAILLE Monia | 61 |
| 34 | BELTMAN Chantal | 68 |
| 42 | HENRION Ludivine | 60 |
| 43 | BRZEŹNA Paulina | 56 |
| 46 | VISSER Adrie | 59 |
| 58 | SELS Loes | 65 |
| 62 | BRONZINI Giorgia | 54 |