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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | BALSAMO Elisa | 55 |
| 3 | KOPECKY Lotte | 66 |
| 6 | VAN DIJK Ellen | 71 |
| 9 | SMULDERS Silke | 51 |
| 11 | BARBIERI Rachele | 55 |
| 12 | HENDERSON Anna | 58 |
| 13 | LONGO BORGHINI Elisa | 59 |
| 16 | MARKUS Riejanne | 61 |
| 20 | PATERNOSTER Letizia | 53 |
| 21 | TRUYEN Marthe | 55 |
| 22 | CORDON-RAGOT Audrey | 60 |
| 25 | MANLY Alexandra | 53 |