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 = -0.7 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | UBETO Miguel Armando | 60 |
| 3 | MARECZKO Jakub | 67 |
| 4 | FAVILLI Elia | 61 |
| 5 | BENFATTO Marco | 71 |
| 7 | ZHUPA Eugert | 78 |
| 8 | RODRÍGUEZ Jackson | 58 |
| 10 | GÁLVIZ Carlos Johan | 65 |
| 17 | STRAKHOV Dmitry | 70 |
| 18 | GODOY Yonder | 64 |
| 24 | RANGEL Hector Hugo | 63 |
| 28 | OCHOA Carlos José | 62 |
| 45 | MONSALVE Yonathan | 62 |
| 50 | VDOVIN Sergey | 62.5 |