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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 3 | HAYMAN Mathew | 78 |
| 4 | VAN HOOYDONCK Nathan | 78 |
| 5 | SKUJIŅŠ Toms | 70 |
| 6 | WOODS Michael | 62 |
| 8 | REIJNEN Kiel | 63 |
| 9 | KING Ben | 68 |
| 10 | WURF Cameron | 71 |
| 11 | IMPEY Daryl | 72 |
| 13 | MEIER Christian | 61 |
| 14 | PREIDLER Georg | 68 |
| 15 | MANNION Gavin | 58 |
| 16 | CARLSEN Kirk | 68 |