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 = 1.3 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PANASSENKO Nikita | 69 |
| 6 | MAIKIN Roman | 68 |
| 9 | NIKITIN Matvey | 61 |
| 17 | ERSHOV Artur | 70 |
| 19 | ZUBOV Matvey | 72 |
| 20 | BAZHKOU Stanislau | 65 |
| 21 | STROKAU Vasili | 74 |
| 25 | FATKULLIN Valerii | 62 |
| 34 | MAZUR Dzianis | 78 |
| 37 | BAKKER Björn | 79 |
| 40 | LAVRENTYEV Anton | 88 |
| 46 | TRUSOV Nikolay | 77 |