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 = 0.2 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
García
1
54 kgSierra
2
57 kgAmialiusik
3
53 kgGuderzo
4
54 kgDa Silva Souza
5
53 kgSundstedt
6
52 kgCantele
9
58 kgPeñuela
10
53 kgFernandes
11
54 kgPavlukhina
14
68 kgDel Rocio Rocha
21
58 kgSanabria
29
51 kgDrexel
30
62 kgMejías
31
60 kgCecchini
36
52 kgValsecchi
38
58 kgFernandes Silva
47
52 kg
1
54 kgSierra
2
57 kgAmialiusik
3
53 kgGuderzo
4
54 kgDa Silva Souza
5
53 kgSundstedt
6
52 kgCantele
9
58 kgPeñuela
10
53 kgFernandes
11
54 kgPavlukhina
14
68 kgDel Rocio Rocha
21
58 kgSanabria
29
51 kgDrexel
30
62 kgMejías
31
60 kgCecchini
36
52 kgValsecchi
38
58 kgFernandes Silva
47
52 kg
Weight (KG) →
Result →
68
51
1
47
# | Rider | Weight (KG) |
---|---|---|
1 | GARCÍA Evelyn | 54 |
2 | SIERRA Arlenis | 57 |
3 | AMIALIUSIK Alena | 53 |
4 | GUDERZO Tatiana | 54 |
5 | DA SILVA SOUZA Fernanda | 53 |
6 | SUNDSTEDT Pia | 52 |
9 | CANTELE Noemi | 58 |
10 | PEÑUELA Diana | 53 |
11 | FERNANDES Clemilda | 54 |
14 | PAVLUKHINA Olena | 68 |
21 | DEL ROCIO ROCHA Mayra | 58 |
29 | SANABRIA Ana Cristina | 51 |
30 | DREXEL Ingrid | 62 |
31 | MEJÍAS Marlies | 60 |
36 | CECCHINI Elena | 52 |
38 | VALSECCHI Silvia | 58 |
47 | FERNANDES SILVA Janildes | 52 |