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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KJÆRGAARD Steffen | 74 |
| 2 | MERCKX Axel | 77 |
| 3 | ATIENZA Daniel | 60 |
| 6 | SCHMIDT Torsten | 73 |
| 8 | TOLHOEK Patrick | 63 |
| 9 | JAKSCHE Jörg | 69 |
| 10 | MONTGOMERY Sven | 62 |
| 33 | ZABEL Erik | 69 |