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 = -0.1 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schleicher
1
58 kgBastianelli
3
60 kgArndt
4
59 kgCantele
8
58 kgMustonen
12
58 kgTreier
13
62 kgCorneo
14
54 kgVžesniauskaitė
18
57 kgVos
21
58 kgHohl
22
55 kgPučinskaitė
23
54 kgSchachl
28
57 kgVillumsen
33
59 kgBoyarskaya
34
67 kgGrassi
36
56 kgVilajosana
37
57 kgLichtenberg
42
52 kgAbbott
43
52 kgZabirova
50
65 kg
1
58 kgBastianelli
3
60 kgArndt
4
59 kgCantele
8
58 kgMustonen
12
58 kgTreier
13
62 kgCorneo
14
54 kgVžesniauskaitė
18
57 kgVos
21
58 kgHohl
22
55 kgPučinskaitė
23
54 kgSchachl
28
57 kgVillumsen
33
59 kgBoyarskaya
34
67 kgGrassi
36
56 kgVilajosana
37
57 kgLichtenberg
42
52 kgAbbott
43
52 kgZabirova
50
65 kg
Weight (KG) →
Result →
67
52
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEICHER Regina | 58 |
| 3 | BASTIANELLI Marta | 60 |
| 4 | ARNDT Judith | 59 |
| 8 | CANTELE Noemi | 58 |
| 12 | MUSTONEN Sara | 58 |
| 13 | TREIER Grete | 62 |
| 14 | CORNEO Sigrid | 54 |
| 18 | VŽESNIAUSKAITĖ Modesta | 57 |
| 21 | VOS Marianne | 58 |
| 22 | HOHL Jennifer | 55 |
| 23 | PUČINSKAITĖ Edita | 54 |
| 28 | SCHACHL Monika | 57 |
| 33 | VILLUMSEN Linda | 59 |
| 34 | BOYARSKAYA Natalia | 67 |
| 36 | GRASSI Giuseppina | 56 |
| 37 | VILAJOSANA Marta | 57 |
| 42 | LICHTENBERG Claudia | 52 |
| 43 | ABBOTT Mara | 52 |
| 50 | ZABIROVA Zulfiya | 65 |