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 = 1.3 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Vos
1
58 kgStiajkina
2
51 kgMoreno
4
52 kgVilajosana
5
57 kgValen
6
62 kgGarcía
9
68 kgVysotska
13
55 kgGarcía
14
54 kgMin
15
56 kgFernandes
17
54 kgDa Silva Souza
18
53 kgGonzález
20
60 kgFernandes Silva
22
52 kgMeng
26
65 kgGrassi
42
56 kgAndruk
50
56 kgNumainville
54
65 kgDel Rocio Rocha
75
58 kgGonzalez
79
61 kg
1
58 kgStiajkina
2
51 kgMoreno
4
52 kgVilajosana
5
57 kgValen
6
62 kgGarcía
9
68 kgVysotska
13
55 kgGarcía
14
54 kgMin
15
56 kgFernandes
17
54 kgDa Silva Souza
18
53 kgGonzález
20
60 kgFernandes Silva
22
52 kgMeng
26
65 kgGrassi
42
56 kgAndruk
50
56 kgNumainville
54
65 kgDel Rocio Rocha
75
58 kgGonzalez
79
61 kg
Weight (KG) →
Result →
68
51
1
79
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | STIAJKINA Tatiana | 51 |
4 | MORENO María Isabel | 52 |
5 | VILAJOSANA Marta | 57 |
6 | VALEN Anita | 62 |
9 | GARCÍA Danielys del Valle | 68 |
13 | VYSOTSKA Ievgeniia | 55 |
14 | GARCÍA Evelyn | 54 |
15 | MIN Gao | 56 |
17 | FERNANDES Clemilda | 54 |
18 | DA SILVA SOUZA Fernanda | 53 |
20 | GONZÁLEZ Angie Sabrina | 60 |
22 | FERNANDES SILVA Janildes | 52 |
26 | MENG Lang | 65 |
42 | GRASSI Giuseppina | 56 |
50 | ANDRUK Alona | 56 |
54 | NUMAINVILLE Joëlle | 65 |
75 | DEL ROCIO ROCHA Mayra | 58 |
79 | GONZALEZ Yumari | 61 |