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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUSSER Marlen | 70 |
| 2 | LONGO BORGHINI Elisa | 59 |
| 3 | KASTELIJN Yara | 52 |
| 4 | CHABBEY Elise | 52 |
| 5 | SPRATT Amanda | 55 |
| 7 | COPPONI Clara | 55 |
| 13 | BLASI Paula | 57 |
| 14 | MALCOTTI Barbara | 52 |
| 15 | WIEBES Lorena | 60 |
| 17 | LABOUS Juliette | 54 |
| 18 | ERIĆ Jelena | 53 |
| 19 | KOPECKY Lotte | 66 |
| 21 | JACKSON Alison | 63 |
| 25 | MARTÍN Sara | 58 |