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 = 0.6 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOCHAROV Dmitriy | 72 |
| 2 | PARASHCHAK Yaroslav | 66 |
| 4 | BULUT Samet | 64 |
| 6 | MARUKHIN Daniil | 64 |
| 7 | VINOKUROV Nicolas | 65 |
| 15 | VINOKUROV Alexandre | 66 |
| 16 | UZUN Emir | 67 |
| 17 | GIDICH Yevgeniy | 69 |
| 19 | FOMOVSKIY Aleksey | 82 |
| 21 | SEYFOLLAHIFARD Hasan | 76 |
| 24 | ÖZGÜR Batuhan | 75 |
| 25 | TROMAN Vladislav | 68 |
| 31 | ÖRKEN Ahmet | 69 |
| 36 | NOEI DASHDEBI Alireza | 62 |
| 39 | SAMLI Feritcan | 75 |