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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AVERIN Alexandre | 69 |
| 4 | HARTNICK Hans-Joachim | 76 |
| 6 | PIKKUUS Aavo | 76 |
| 7 | SCHMEISSER Siegbert | 69 |
| 12 | VASILE Teodor | 66 |
| 16 | KONEČNÝ Vlastibor | 75 |
| 24 | KLASA Michal | 79 |
| 25 | PÉREZ Jorge Antonio | 58 |
| 29 | HANNUS Harry | 76 |
| 39 | SZUROMI György | 85 |