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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 2 | BUTS Vitaliy | 68 |
| 6 | SAYAR Mustafa | 64 |
| 9 | RAVANELLI Simone | 66 |
| 12 | STEDMAN Maximilian | 54 |
| 13 | CHOLAKOV Stanimir | 66 |
| 14 | ZEMLYAKOV Oleg | 70 |
| 17 | ÖRKEN Ahmet | 69 |
| 18 | SPREAFICO Matteo | 69 |