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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARALIOK Yauheni | 75 |
| 2 | BAZHKOU Stanislau | 65 |
| 4 | SHAUCHENKA Siarhei | 74 |
| 5 | TSISHKOU Raman | 72 |
| 6 | STROKAU Vasili | 74 |
| 7 | RAMANAU Raman | 68 |
| 8 | AKHRAMENKA Yauheni | 78 |
| 10 | PIASETSKI Aliaksandr | 66 |
| 13 | SHEMETAU Mikhail | 79 |