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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIERI Dario | 78 |
| 3 | BLIJLEVENS Jeroen | 70 |
| 5 | ZANOTTI Marco | 70 |
| 7 | GUIDI Fabrizio | 73 |
| 11 | OLANO Abraham | 70 |
| 13 | RODRIGUES Orlando Sergio | 68 |
| 14 | SMETANINE Serguei | 69 |
| 16 | HAMBURGER Bo | 58 |
| 18 | JULICH Bobby | 68 |
| 24 | IVANOV Sergei | 73 |
| 25 | ESCARTÍN Fernando | 61 |
| 37 | VOSKAMP Bart | 75 |
| 50 | ANDERSSON Michael | 71 |
| 53 | GONTCHENKOV Alexander | 74 |
| 62 | ROMINGER Tony | 65 |