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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Emma | 65 |
| 2 | KOPECKY Lotte | 66 |
| 3 | BRAND Lucinda | 57 |
| 5 | PIETERS Amy | 58 |
| 6 | WIEBES Lorena | 60 |
| 7 | DEIGNAN Elizabeth | 57 |
| 9 | HENDERSON Anna | 58 |
| 10 | WILD Kirsten | 75 |
| 11 | FAHLIN Emilia | 63 |
| 12 | MAJERUS Christine | 56 |
| 13 | LIPPERT Liane | 56 |
| 14 | MAGNER Alexis | 57 |