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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHUMOV Nikolai | 65 |
| 2 | IVASHKIN Anton | 73 |
| 3 | RIABUSHENKO Alexandr | 61 |
| 4 | STROKAU Vasili | 74 |
| 6 | KOSHEVOY Ilia | 62.5 |
| 8 | KARALIOK Yauheni | 75 |
| 9 | TSISHKOU Raman | 72 |
| 11 | RAMANAU Raman | 68 |
| 12 | SHEMETAU Mikhail | 79 |
| 15 | MUZYCHKIN Anton | 76 |
| 19 | AKHRAMENKA Yauheni | 78 |
| 20 | PIASETSKI Aliaksandr | 66 |