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 = 1.6 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEVILLA Óscar | 62 |
| 4 | UMBA Santiago | 58 |
| 5 | MUÑOZ Daniel | 57 |
| 15 | GÁLVIZ Carlos Johan | 65 |
| 16 | PELLAUD Simon | 70 |
| 34 | VARGAS Walter | 69 |
| 36 | CHACÓN José Isidro | 63 |
| 44 | RESTREPO Jhonatan | 73 |
| 50 | SUAZA Bernardo | 66 |
| 54 | RIVERA Kevin | 56 |
| 55 | DUARTE Fabio | 55 |
| 68 | LONARDI Giovanni | 70 |
| 73 | TAGLIANI Filippo | 70 |
| 77 | MALUCELLI Matteo | 68 |
| 78 | DALLA VALLE Nicolas | 73 |
| 85 | REVETE Brayan | 62 |