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 - 44
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Stiajkina
1
51 kgMoreno
2
52 kgVos
3
58 kgVilajosana
4
57 kgVysotska
5
55 kgGarcía
8
54 kgGrassi
9
56 kgValen
11
62 kgFernandes
13
54 kgMin
18
56 kgMeng
22
65 kgGarcía
23
68 kgFernandes Silva
24
52 kgNumainville
29
65 kgGonzález
33
60 kgDa Silva Souza
36
53 kgDel Rocio Rocha
39
58 kgGonzalez
43
61 kg
1
51 kgMoreno
2
52 kgVos
3
58 kgVilajosana
4
57 kgVysotska
5
55 kgGarcía
8
54 kgGrassi
9
56 kgValen
11
62 kgFernandes
13
54 kgMin
18
56 kgMeng
22
65 kgGarcía
23
68 kgFernandes Silva
24
52 kgNumainville
29
65 kgGonzález
33
60 kgDa Silva Souza
36
53 kgDel Rocio Rocha
39
58 kgGonzalez
43
61 kg
Weight (KG) →
Result →
68
51
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STIAJKINA Tatiana | 51 |
| 2 | MORENO María Isabel | 52 |
| 3 | VOS Marianne | 58 |
| 4 | VILAJOSANA Marta | 57 |
| 5 | VYSOTSKA Ievgeniia | 55 |
| 8 | GARCÍA Evelyn | 54 |
| 9 | GRASSI Giuseppina | 56 |
| 11 | VALEN Anita | 62 |
| 13 | FERNANDES Clemilda | 54 |
| 18 | MIN Gao | 56 |
| 22 | MENG Lang | 65 |
| 23 | GARCÍA Danielys del Valle | 68 |
| 24 | FERNANDES SILVA Janildes | 52 |
| 29 | NUMAINVILLE Joëlle | 65 |
| 33 | GONZÁLEZ Angie Sabrina | 60 |
| 36 | DA SILVA SOUZA Fernanda | 53 |
| 39 | DEL ROCIO ROCHA Mayra | 58 |
| 43 | GONZALEZ Yumari | 61 |