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 kgVos
9
58 kgSchachl
10
57 kgBastianelli
11
60 kgGrassi
13
56 kgCantele
14
58 kgVžesniauskaitė
16
57 kgCorneo
19
54 kgBoyarskaya
21
67 kgVillumsen
22
59 kgHohl
27
55 kgVilajosana
32
57 kgZabirova
36
65 kg
2
52 kgLichtenberg
3
52 kgPučinskaitė
5
54 kgArndt
6
59 kgTreier
7
62 kgVos
9
58 kgSchachl
10
57 kgBastianelli
11
60 kgGrassi
13
56 kgCantele
14
58 kgVžesniauskaitė
16
57 kgCorneo
19
54 kgBoyarskaya
21
67 kgVillumsen
22
59 kgHohl
27
55 kgVilajosana
32
57 kgZabirova
36
65 kg
Weight (KG) →
Result →
67
52
2
36
# | Rider | Weight (KG) |
---|---|---|
2 | ABBOTT Mara | 52 |
3 | LICHTENBERG Claudia | 52 |
5 | PUČINSKAITĖ Edita | 54 |
6 | ARNDT Judith | 59 |
7 | TREIER Grete | 62 |
9 | VOS Marianne | 58 |
10 | SCHACHL Monika | 57 |
11 | BASTIANELLI Marta | 60 |
13 | GRASSI Giuseppina | 56 |
14 | CANTELE Noemi | 58 |
16 | VŽESNIAUSKAITĖ Modesta | 57 |
19 | CORNEO Sigrid | 54 |
21 | BOYARSKAYA Natalia | 67 |
22 | VILLUMSEN Linda | 59 |
27 | HOHL Jennifer | 55 |
32 | VILAJOSANA Marta | 57 |
36 | ZABIROVA Zulfiya | 65 |