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 = -35.7 * weight + 2512
This means that on average for every extra kilogram weight a rider loses -35.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIDICH Yevgeniy | 69 |
| 2 | BOCHAROV Dmitriy | 72 |
| 3 | PARASHCHAK Yaroslav | 66 |
| 4 | MARUKHIN Daniil | 64 |
| 7 | VINOKUROV Nicolas | 65 |
| 10 | BULUT Samet | 64 |
| 11 | ÖZGÜR Batuhan | 75 |
| 13 | UZUN Emir | 67 |
| 991 | NOEI DASHDEBI Alireza | 62 |