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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORDON-RAGOT Audrey | 60 |
| 2 | LONGO BORGHINI Elisa | 59 |
| 4 | BIANNIC Aude | 64 |
| 6 | PITEL Edwige | 52 |
| 7 | GUTIÉRREZ Sheyla | 60 |
| 9 | SICOT Marion | 58 |
| 17 | DUVAL Eugénie | 53 |
| 21 | BLOCH-DAVIDOV Shani | 59 |
| 28 | ROY Sarah | 66 |
| 30 | ALLIN Pauline | 58 |
| 34 | PILOTE FORTIN Gabrielle | 55 |