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 = 1.1 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Abbott
2
52 kgLichtenberg
3
52 kgPučinskaitė
5
54 kgArndt
6
59 kgTreier
7
62 kgSchachl
8
57 kgVos
10
58 kgGrassi
11
56 kgBastianelli
13
60 kgCantele
14
58 kgVžesniauskaitė
16
57 kgCorneo
19
54 kgBoyarskaya
20
67 kgVillumsen
21
59 kgHohl
30
55 kgVilajosana
36
57 kgZabirova
38
65 kgSchleicher
41
58 kg
2
52 kgLichtenberg
3
52 kgPučinskaitė
5
54 kgArndt
6
59 kgTreier
7
62 kgSchachl
8
57 kgVos
10
58 kgGrassi
11
56 kgBastianelli
13
60 kgCantele
14
58 kgVžesniauskaitė
16
57 kgCorneo
19
54 kgBoyarskaya
20
67 kgVillumsen
21
59 kgHohl
30
55 kgVilajosana
36
57 kgZabirova
38
65 kgSchleicher
41
58 kg
Weight (KG) →
Result →
67
52
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABBOTT Mara | 52 |
| 3 | LICHTENBERG Claudia | 52 |
| 5 | PUČINSKAITĖ Edita | 54 |
| 6 | ARNDT Judith | 59 |
| 7 | TREIER Grete | 62 |
| 8 | SCHACHL Monika | 57 |
| 10 | VOS Marianne | 58 |
| 11 | GRASSI Giuseppina | 56 |
| 13 | BASTIANELLI Marta | 60 |
| 14 | CANTELE Noemi | 58 |
| 16 | VŽESNIAUSKAITĖ Modesta | 57 |
| 19 | CORNEO Sigrid | 54 |
| 20 | BOYARSKAYA Natalia | 67 |
| 21 | VILLUMSEN Linda | 59 |
| 30 | HOHL Jennifer | 55 |
| 36 | VILAJOSANA Marta | 57 |
| 38 | ZABIROVA Zulfiya | 65 |
| 41 | SCHLEICHER Regina | 58 |