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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUS Kai | 70 |
| 2 | GREIPEL André | 80 |
| 3 | VOGEL Florian | 66 |
| 4 | SCHLECK Andy | 68 |
| 5 | STALDER Florian | 58 |
| 7 | BOLE Grega | 69 |
| 8 | KOZONTCHUK Dmitry | 75 |
| 13 | HEIJBOER Mathieu | 78 |
| 14 | DIETZIKER Andreas | 67 |
| 15 | STRGAR Matic | 62 |
| 21 | WAGNER Robert | 75 |
| 24 | ZAHNER Simon | 73 |
| 25 | GOTTFRIED Alexander | 60 |