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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIPPERT Liane | 56 |
| 3 | LUDWIG Hannah | 55 |
| 6 | VOLLERING Demi | 57 |
| 7 | WOOD Alice | 59 |
| 8 | PARKINSON Abby-Mae | 51 |
| 10 | NERLO Aurela | 65 |
| 11 | TEUTENBERG Lea Lin | 53 |
| 12 | RIFFEL Christa | 57 |
| 13 | TERUEL Alba | 56 |
| 14 | GROSSETÊTE Maëlle | 60 |
| 15 | LACH Marta | 59 |
| 16 | MATHIESEN Pernille | 71 |
| 23 | BOOGAARD Maaike | 59 |
| 25 | ADEGEEST Loes | 57 |
| 26 | ANDRES Michelle | 62 |