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 - 107
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | GÁLVIZ Carlos Johan | 65 |
| 21 | SELLA Emanuele | 54 |
| 22 | OCHOA Carlos José | 62 |
| 32 | RODRÍGUEZ Jackson | 58 |
| 43 | GIMENEZ Carlos | 53 |
| 50 | VDOVIN Sergey | 62.5 |
| 56 | UBETO Miguel Armando | 60 |
| 57 | MONSALVE Yonathan | 62 |
| 58 | GODOY Yonder | 64 |
| 61 | CHACÓN José Isidro | 63 |
| 80 | STRAKHOV Dmitry | 70 |
| 87 | BUSATO Matteo | 67 |
| 88 | NARDIN Alberto | 63.5 |
| 92 | FAVILLI Elia | 61 |
| 96 | FONZI Giuseppe | 63 |
| 97 | ZHUPA Eugert | 78 |