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 = -1.6 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMBODEN Heinz | 70 |
| 6 | CHEVALLIER Philippe | 69 |
| 7 | HEPPNER Jens | 69 |
| 10 | SYPYTKOWSKI Andrzej | 76 |
| 15 | KLUGE Mike | 77 |
| 26 | GLAUS Gilbert | 67 |
| 28 | MEINERT-NIELSEN Peter | 73 |
| 40 | GIANETTI Mauro | 62 |
| 43 | TRINKLER Richard | 67 |