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 = 1.5 * weight - 75
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WECHSELBERGER Helmut | 71 |
| 3 | LUCHS Jürg | 68 |
| 13 | BRADSHAW Kevin | 69 |
| 21 | TRINKLER Richard | 67 |
| 23 | VAN DER POEL Adrie | 70 |
| 24 | DELGADO Pedro | 64 |
| 27 | MUCKENHUBER Peter | 66 |
| 44 | GLAUS Gilbert | 67 |
| 52 | JOOST Fritz | 72 |
| 53 | SPINDLER Herbert | 71 |