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 - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Hsiao
1
58 kgSierra
3
57 kgCecchini
4
52 kgAmialiusik
6
53 kgFernandes
7
54 kgDel Rocio Rocha
10
58 kgGarcía
14
54 kgDrexel
15
62 kgPeñuela
18
53 kgCantele
21
58 kgSundstedt
28
52 kgGuderzo
29
54 kgFernandes Silva
37
52 kgDa Silva Souza
39
53 kgPavlukhina
41
68 kgSanabria
42
51 kgValsecchi
43
58 kgGonzalez
51
61 kg
1
58 kgSierra
3
57 kgCecchini
4
52 kgAmialiusik
6
53 kgFernandes
7
54 kgDel Rocio Rocha
10
58 kgGarcía
14
54 kgDrexel
15
62 kgPeñuela
18
53 kgCantele
21
58 kgSundstedt
28
52 kgGuderzo
29
54 kgFernandes Silva
37
52 kgDa Silva Souza
39
53 kgPavlukhina
41
68 kgSanabria
42
51 kgValsecchi
43
58 kgGonzalez
51
61 kg
Weight (KG) →
Result →
68
51
1
51
# | Rider | Weight (KG) |
---|---|---|
1 | HSIAO Mei Yu | 58 |
3 | SIERRA Arlenis | 57 |
4 | CECCHINI Elena | 52 |
6 | AMIALIUSIK Alena | 53 |
7 | FERNANDES Clemilda | 54 |
10 | DEL ROCIO ROCHA Mayra | 58 |
14 | GARCÍA Evelyn | 54 |
15 | DREXEL Ingrid | 62 |
18 | PEÑUELA Diana | 53 |
21 | CANTELE Noemi | 58 |
28 | SUNDSTEDT Pia | 52 |
29 | GUDERZO Tatiana | 54 |
37 | FERNANDES SILVA Janildes | 52 |
39 | DA SILVA SOUZA Fernanda | 53 |
41 | PAVLUKHINA Olena | 68 |
42 | SANABRIA Ana Cristina | 51 |
43 | VALSECCHI Silvia | 58 |
51 | GONZALEZ Yumari | 61 |