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 = 0.9 * weight - 58
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 3 | ERSHOV Artur | 70 |
| 4 | MANAKOV Victor | 77 |
| 5 | VOROBYEV Anton | 74 |
| 6 | VORGANOV Eduard | 65 |
| 7 | POZDNYAKOV Kirill | 67 |
| 8 | KARALIOK Yauheni | 75 |
| 9 | KERS Koos Jeroen | 71 |
| 14 | ROSTOVTSEV Sergey | 73 |
| 16 | SHEMETAU Mikhail | 79 |
| 20 | STROKAU Vasili | 74 |
| 28 | ANSONS Kristers | 77 |