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 = 1.6 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Guderzo
2
54 kgFernandes
3
54 kgSierra
4
57 kgGarcía
5
54 kgPeñuela
7
53 kgSundstedt
9
52 kgCantele
10
58 kgAmialiusik
12
53 kgSanabria
13
51 kgDa Silva Souza
14
53 kgDrexel
25
62 kgPavlukhina
34
68 kgValsecchi
35
58 kgMejías
37
60 kgDel Rocio Rocha
41
58 kgCecchini
44
52 kgFernandes Silva
45
52 kgHsiao
50
58 kgGonzalez
51
61 kg
2
54 kgFernandes
3
54 kgSierra
4
57 kgGarcía
5
54 kgPeñuela
7
53 kgSundstedt
9
52 kgCantele
10
58 kgAmialiusik
12
53 kgSanabria
13
51 kgDa Silva Souza
14
53 kgDrexel
25
62 kgPavlukhina
34
68 kgValsecchi
35
58 kgMejías
37
60 kgDel Rocio Rocha
41
58 kgCecchini
44
52 kgFernandes Silva
45
52 kgHsiao
50
58 kgGonzalez
51
61 kg
Weight (KG) →
Result →
68
51
2
51
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUDERZO Tatiana | 54 |
| 3 | FERNANDES Clemilda | 54 |
| 4 | SIERRA Arlenis | 57 |
| 5 | GARCÍA Evelyn | 54 |
| 7 | PEÑUELA Diana | 53 |
| 9 | SUNDSTEDT Pia | 52 |
| 10 | CANTELE Noemi | 58 |
| 12 | AMIALIUSIK Alena | 53 |
| 13 | SANABRIA Ana Cristina | 51 |
| 14 | DA SILVA SOUZA Fernanda | 53 |
| 25 | DREXEL Ingrid | 62 |
| 34 | PAVLUKHINA Olena | 68 |
| 35 | VALSECCHI Silvia | 58 |
| 37 | MEJÍAS Marlies | 60 |
| 41 | DEL ROCIO ROCHA Mayra | 58 |
| 44 | CECCHINI Elena | 52 |
| 45 | FERNANDES SILVA Janildes | 52 |
| 50 | HSIAO Mei Yu | 58 |
| 51 | GONZALEZ Yumari | 61 |