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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVANOV Ruslan | 71 |
| 2 | BOSSONI Paolo | 62 |
| 4 | LAVERDE Luis Felipe | 63 |
| 5 | PIETROPOLLI Daniele | 61 |
| 6 | MASCIARELLI Simone | 63 |
| 16 | BOŽIČ Borut | 70 |
| 24 | MARZOLI Ruggero | 61 |
| 25 | MATVEYEV Sergiy | 78 |