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 - 70
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GÁLVIZ Carlos Johan | 65 |
| 15 | RODRÍGUEZ Jackson | 58 |
| 22 | OCHOA Carlos José | 62 |
| 27 | SELLA Emanuele | 54 |
| 28 | GODOY Yonder | 64 |
| 35 | MONSALVE Yonathan | 62 |
| 39 | CHACÓN José Isidro | 63 |
| 46 | GIMENEZ Carlos | 53 |
| 49 | BUSATO Matteo | 67 |
| 56 | VDOVIN Sergey | 62.5 |
| 57 | UBETO Miguel Armando | 60 |
| 69 | STRAKHOV Dmitry | 70 |
| 71 | FAVILLI Elia | 61 |
| 85 | ZHUPA Eugert | 78 |