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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAVANELLI Simone | 66 |
| 3 | GIDICH Yevgeniy | 69 |
| 4 | STEDMAN Maximilian | 54 |
| 9 | BALKAN Onur | 69 |
| 10 | FILUTÁS Viktor | 68 |
| 13 | BALKAN Serkan | 64 |
| 17 | TAGLIANI Filippo | 70 |
| 22 | SAMLI Feritcan | 75 |
| 28 | DIMA Emil | 73 |
| 33 | ANDREEV Yordan | 63 |
| 34 | SUCHEV Mario | 68 |
| 37 | HORVATH Roland | 60 |