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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Stiajkina
1
51 kgVos
2
58 kgMoreno
3
52 kgVilajosana
4
57 kgVysotska
5
55 kgValen
6
62 kgGrassi
7
56 kgGarcía
9
54 kgFernandes
11
54 kgGarcía
18
68 kgMeng
19
65 kgNumainville
23
65 kgFernandes Silva
24
52 kgGonzález
26
60 kgMin
27
56 kgDa Silva Souza
32
53 kgGonzalez
33
61 kgDel Rocio Rocha
41
58 kg
1
51 kgVos
2
58 kgMoreno
3
52 kgVilajosana
4
57 kgVysotska
5
55 kgValen
6
62 kgGrassi
7
56 kgGarcía
9
54 kgFernandes
11
54 kgGarcía
18
68 kgMeng
19
65 kgNumainville
23
65 kgFernandes Silva
24
52 kgGonzález
26
60 kgMin
27
56 kgDa Silva Souza
32
53 kgGonzalez
33
61 kgDel Rocio Rocha
41
58 kg
Weight (KG) →
Result →
68
51
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STIAJKINA Tatiana | 51 |
| 2 | VOS Marianne | 58 |
| 3 | MORENO María Isabel | 52 |
| 4 | VILAJOSANA Marta | 57 |
| 5 | VYSOTSKA Ievgeniia | 55 |
| 6 | VALEN Anita | 62 |
| 7 | GRASSI Giuseppina | 56 |
| 9 | GARCÍA Evelyn | 54 |
| 11 | FERNANDES Clemilda | 54 |
| 18 | GARCÍA Danielys del Valle | 68 |
| 19 | MENG Lang | 65 |
| 23 | NUMAINVILLE Joëlle | 65 |
| 24 | FERNANDES SILVA Janildes | 52 |
| 26 | GONZÁLEZ Angie Sabrina | 60 |
| 27 | MIN Gao | 56 |
| 32 | DA SILVA SOUZA Fernanda | 53 |
| 33 | GONZALEZ Yumari | 61 |
| 41 | DEL ROCIO ROCHA Mayra | 58 |