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 = 2.6 * weight - 148
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Soliz
1
58 kgGonzález
5
55 kgGuamá
9
61 kgGálviz
13
65 kgSepulveda
34
66 kgRagonessi
36
67 kg
1
58 kgGonzález
5
55 kgGuamá
9
61 kgGálviz
13
65 kgSepulveda
34
66 kgRagonessi
36
67 kg
Weight (KG) →
Result →
67
55
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLIZ Óscar | 58 |
| 5 | GONZÁLEZ Freddy Excelino | 55 |
| 9 | GUAMÁ Byron | 61 |
| 13 | GÁLVIZ Carlos Johan | 65 |
| 34 | SEPULVEDA Luis Fernando | 66 |
| 36 | RAGONESSI José | 67 |