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 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Valsecchi
1
58 kgGarcía
2
54 kgSierra
3
57 kgDel Rocio Rocha
6
58 kgCantele
7
58 kgHsiao
8
58 kgFernandes
9
54 kgAmialiusik
10
53 kgSundstedt
11
52 kgGuderzo
12
54 kgCecchini
15
52 kgPeñuela
16
53 kgPavlukhina
22
68 kgDa Silva Souza
27
53 kgDrexel
35
62 kgGonzalez
46
61 kgFernandes Silva
48
52 kgSanabria
51
51 kg
1
58 kgGarcía
2
54 kgSierra
3
57 kgDel Rocio Rocha
6
58 kgCantele
7
58 kgHsiao
8
58 kgFernandes
9
54 kgAmialiusik
10
53 kgSundstedt
11
52 kgGuderzo
12
54 kgCecchini
15
52 kgPeñuela
16
53 kgPavlukhina
22
68 kgDa Silva Souza
27
53 kgDrexel
35
62 kgGonzalez
46
61 kgFernandes Silva
48
52 kgSanabria
51
51 kg
Weight (KG) →
Result →
68
51
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALSECCHI Silvia | 58 |
| 2 | GARCÍA Evelyn | 54 |
| 3 | SIERRA Arlenis | 57 |
| 6 | DEL ROCIO ROCHA Mayra | 58 |
| 7 | CANTELE Noemi | 58 |
| 8 | HSIAO Mei Yu | 58 |
| 9 | FERNANDES Clemilda | 54 |
| 10 | AMIALIUSIK Alena | 53 |
| 11 | SUNDSTEDT Pia | 52 |
| 12 | GUDERZO Tatiana | 54 |
| 15 | CECCHINI Elena | 52 |
| 16 | PEÑUELA Diana | 53 |
| 22 | PAVLUKHINA Olena | 68 |
| 27 | DA SILVA SOUZA Fernanda | 53 |
| 35 | DREXEL Ingrid | 62 |
| 46 | GONZALEZ Yumari | 61 |
| 48 | FERNANDES SILVA Janildes | 52 |
| 51 | SANABRIA Ana Cristina | 51 |