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 = 1.7 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Soliz
3
58 kgGuamá
6
61 kgGálviz
11
65 kgGonzález
34
55 kgRagonessi
43
67 kgSepulveda
52
66 kg
3
58 kgGuamá
6
61 kgGálviz
11
65 kgGonzález
34
55 kgRagonessi
43
67 kgSepulveda
52
66 kg
Weight (KG) →
Result →
67
55
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SOLIZ Óscar | 58 |
| 6 | GUAMÁ Byron | 61 |
| 11 | GÁLVIZ Carlos Johan | 65 |
| 34 | GONZÁLEZ Freddy Excelino | 55 |
| 43 | RAGONESSI José | 67 |
| 52 | SEPULVEDA Luis Fernando | 66 |