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 = -1.2 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Vos
1
58 kgJohansson
2
58 kgvan Dijk
4
71 kgVillumsen
8
59 kgLechner
11
52 kgCooke
13
58 kgCantele
19
58 kgSlappendel
22
67 kgLjungskog
23
57 kgRowe
29
65 kgStander
31
57 kgSoeder
32
52 kgBecker
36
64 kgVilajosana
46
57 kgSandig
52
62 kgVžesniauskaitė
53
57 kgAntoshina
54
55 kgAbbott
56
52 kgAndruk
57
56 kgvan der Breggen
61
56 kgMelchers
86
59 kg
1
58 kgJohansson
2
58 kgvan Dijk
4
71 kgVillumsen
8
59 kgLechner
11
52 kgCooke
13
58 kgCantele
19
58 kgSlappendel
22
67 kgLjungskog
23
57 kgRowe
29
65 kgStander
31
57 kgSoeder
32
52 kgBecker
36
64 kgVilajosana
46
57 kgSandig
52
62 kgVžesniauskaitė
53
57 kgAntoshina
54
55 kgAbbott
56
52 kgAndruk
57
56 kgvan der Breggen
61
56 kgMelchers
86
59 kg
Weight (KG) →
Result →
71
52
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | JOHANSSON Emma | 58 |
| 4 | VAN DIJK Ellen | 71 |
| 8 | VILLUMSEN Linda | 59 |
| 11 | LECHNER Eva | 52 |
| 13 | COOKE Nicole | 58 |
| 19 | CANTELE Noemi | 58 |
| 22 | SLAPPENDEL Iris | 67 |
| 23 | LJUNGSKOG Susanne | 57 |
| 29 | ROWE Danielle | 65 |
| 31 | STANDER Marissa | 57 |
| 32 | SOEDER Christiane | 52 |
| 36 | BECKER Charlotte | 64 |
| 46 | VILAJOSANA Marta | 57 |
| 52 | SANDIG Madeleine | 62 |
| 53 | VŽESNIAUSKAITĖ Modesta | 57 |
| 54 | ANTOSHINA Tatiana | 55 |
| 56 | ABBOTT Mara | 52 |
| 57 | ANDRUK Alona | 56 |
| 61 | VAN DER BREGGEN Anna | 56 |
| 86 | MELCHERS Mirjam | 59 |