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 = 2 * weight - 84
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Villumsen
1
59 kgLechner
3
52 kgVos
6
58 kgJohansson
7
58 kgAndruk
8
56 kgLjungskog
10
57 kgStander
17
57 kgCantele
20
58 kgSoeder
21
52 kgMelchers
24
59 kgVilajosana
25
57 kgCooke
37
58 kgAntoshina
39
55 kgRowe
43
65 kgSandig
58
62 kgSlappendel
59
67 kgvan Dijk
61
71 kgvan der Breggen
66
56 kgVžesniauskaitė
67
57 kgAbbott
68
52 kgBecker
69
64 kg
1
59 kgLechner
3
52 kgVos
6
58 kgJohansson
7
58 kgAndruk
8
56 kgLjungskog
10
57 kgStander
17
57 kgCantele
20
58 kgSoeder
21
52 kgMelchers
24
59 kgVilajosana
25
57 kgCooke
37
58 kgAntoshina
39
55 kgRowe
43
65 kgSandig
58
62 kgSlappendel
59
67 kgvan Dijk
61
71 kgvan der Breggen
66
56 kgVžesniauskaitė
67
57 kgAbbott
68
52 kgBecker
69
64 kg
Weight (KG) →
Result →
71
52
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLUMSEN Linda | 59 |
| 3 | LECHNER Eva | 52 |
| 6 | VOS Marianne | 58 |
| 7 | JOHANSSON Emma | 58 |
| 8 | ANDRUK Alona | 56 |
| 10 | LJUNGSKOG Susanne | 57 |
| 17 | STANDER Marissa | 57 |
| 20 | CANTELE Noemi | 58 |
| 21 | SOEDER Christiane | 52 |
| 24 | MELCHERS Mirjam | 59 |
| 25 | VILAJOSANA Marta | 57 |
| 37 | COOKE Nicole | 58 |
| 39 | ANTOSHINA Tatiana | 55 |
| 43 | ROWE Danielle | 65 |
| 58 | SANDIG Madeleine | 62 |
| 59 | SLAPPENDEL Iris | 67 |
| 61 | VAN DIJK Ellen | 71 |
| 66 | VAN DER BREGGEN Anna | 56 |
| 67 | VŽESNIAUSKAITĖ Modesta | 57 |
| 68 | ABBOTT Mara | 52 |
| 69 | BECKER Charlotte | 64 |