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 = -0.9 * weight + 89
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLAUD Simon | 70 |
| 4 | RESTREPO Jhonatan | 73 |
| 9 | UMBA Santiago | 58 |
| 10 | SEVILLA Óscar | 62 |
| 12 | LONARDI Giovanni | 70 |
| 13 | TAGLIANI Filippo | 70 |
| 16 | MUÑOZ Daniel | 57 |
| 20 | GÁLVIZ Carlos Johan | 65 |
| 28 | CHACÓN José Isidro | 63 |
| 38 | MALUCELLI Matteo | 68 |
| 58 | VARGAS Walter | 69 |
| 59 | DUARTE Fabio | 55 |
| 60 | RIVERA Kevin | 56 |
| 62 | DALLA VALLE Nicolas | 73 |
| 69 | SUAZA Bernardo | 66 |
| 78 | REVETE Brayan | 62 |