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 = 0.7 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAFI Andrea | 73 |
| 2 | DUFAUX Laurent | 60 |
| 5 | ROMINGER Tony | 65 |
| 9 | ARGENTIN Moreno | 66 |
| 10 | BORTOLAMI Gianluca | 73 |
| 11 | MARTINELLO Silvio | 71 |
| 16 | SCIANDRI Maximilian | 75 |
| 22 | ZBERG Beat | 72 |