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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Maxim | 67 |
| 2 | BAZAYEV Assan | 62 |
| 5 | GUSEV Vladimir | 67 |
| 7 | BRAJKOVIČ Janez | 60 |
| 12 | SCHWAB Hubert | 65 |
| 15 | RUSS Matthias | 62 |
| 16 | PAUWELS Serge | 65 |
| 17 | KOZONTCHUK Dmitry | 75 |