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 + 24
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CANT Sanne | 57 |
| 7 | SCHWEINBERGER Kathrin | 63 |
| 19 | BOOGAARD Maaike | 59 |
| 24 | ALVARADO Ceylin del Carmen | 51 |
| 26 | BASTIAENSSEN Fauve | 62 |
| 32 | TRUYEN Marthe | 55 |
| 38 | POLITES Alyssa | 59 |
| 39 | TEUTENBERG Lea Lin | 53 |
| 48 | LEE Lucy | 53 |
| 52 | DRUYTS Kelly | 62 |
| 55 | VITILLO Matilde | 51 |
| 57 | DEMEY Valerie | 56 |
| 59 | KUIJPERS Evy | 73 |