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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | WROLICH Peter | 68 |
| 4 | BORTOLAMI Gianluca | 73 |
| 5 | TOMBAK Janek | 71 |
| 6 | HUNTER Robert | 72 |
| 7 | MCEWEN Robbie | 67 |
| 8 | NAZON Jean-Patrick | 74 |
| 10 | SASSONE Robert | 75 |
| 11 | ZBERG Beat | 72 |
| 12 | HASELBACHER René | 69 |
| 13 | MAGNIEN Emmanuel | 68 |
| 15 | FAGNINI Gian Matteo | 70 |