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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEILANDS Krists | 69 |
| 2 | BANASZEK Adrian | 79 |
| 3 | BAŠKA Erik | 74 |
| 4 | ROHDE Leon | 75 |
| 5 | JANSSEN Adriaan | 76 |
| 7 | BRUSSELMAN Twan | 76 |
| 12 | PIASETSKI Aliaksandr | 66 |
| 13 | ZHYHUNOU Dzmitry | 72 |
| 15 | WILLWOHL Willi | 67 |
| 19 | STROKAU Vasili | 74 |
| 22 | KUZMIN Anton | 66 |
| 23 | PAWLAK Tobiasz | 81 |
| 24 | DUBOVSKI Vladzislau | 75 |
| 28 | WEINSTEIN Domenic | 80 |
| 33 | KESSLER Robert | 78 |
| 34 | ROHDE Louis | 72 |