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 = -1.8 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Sepulveda
4
66 kgGálviz
10
65 kgGuamá
15
61 kgRagonessi
16
67 kgSoliz
36
58 kgGonzález
43
55 kgSzeghalmi
51
66 kg
4
66 kgGálviz
10
65 kgGuamá
15
61 kgRagonessi
16
67 kgSoliz
36
58 kgGonzález
43
55 kgSzeghalmi
51
66 kg
Weight (KG) →
Result →
67
55
4
51
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SEPULVEDA Luis Fernando | 66 |
| 10 | GÁLVIZ Carlos Johan | 65 |
| 15 | GUAMÁ Byron | 61 |
| 16 | RAGONESSI José | 67 |
| 36 | SOLIZ Óscar | 58 |
| 43 | GONZÁLEZ Freddy Excelino | 55 |
| 51 | SZEGHALMI Balint | 66 |