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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEIGNAN Elizabeth | 57 |
| 2 | ARCHIBALD Katie | 75 |
| 3 | BARNES Hannah | 52 |
| 4 | BARKER Elinor | 56 |
| 8 | SIMMONDS Hayley | 55 |
| 11 | ROWE Danielle | 65 |
| 13 | VAN TWISK Abigail | 53 |
| 16 | BANKS Elizabeth | 62 |
| 18 | LOWDEN Joscelin | 55 |
| 23 | PARKINSON Abby-Mae | 51 |
| 41 | WOOD Alice | 59 |
| 46 | ROBERTS Amy | 61 |