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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MAIKIN Roman | 68 |
| 11 | ZUBOV Matvey | 72 |
| 12 | PANASSENKO Nikita | 69 |
| 13 | NIKITIN Matvey | 61 |
| 14 | BAZHKOU Stanislau | 65 |
| 16 | ERSHOV Artur | 70 |
| 21 | STROKAU Vasili | 74 |
| 30 | TRUSOV Nikolay | 77 |
| 35 | BAKKER Björn | 79 |
| 36 | LAVRENTYEV Anton | 88 |
| 39 | FATKULLIN Valerii | 62 |
| 41 | MAZUR Dzianis | 78 |