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 - 56
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STROKAU Vasili | 74 |
| 3 | BAZHKOU Stanislau | 65 |
| 4 | KARALIOK Yauheni | 75 |
| 6 | ERSHOV Artur | 70 |
| 7 | VORGANOV Eduard | 65 |
| 8 | SERGIS Kaspars | 75 |
| 9 | MANAKOV Victor | 77 |
| 10 | VOROBYEV Anton | 74 |
| 12 | POZDNYAKOV Kirill | 67 |
| 14 | KERS Koos Jeroen | 71 |
| 17 | ROSTOVTSEV Sergey | 73 |
| 21 | ANSONS Kristers | 77 |
| 22 | SHEMETAU Mikhail | 79 |
| 32 | ZHURKIN Nikolay | 77 |