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 = 2.6 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVALLI Marta | 53 |
| 4 | ROOIJAKKERS Pauliena | 58 |
| 6 | CHABBEY Elise | 52 |
| 17 | NEYLAN Rachel | 52 |
| 29 | ALLIN Pauline | 58 |
| 36 | HARRIS Ella | 57 |
| 38 | VIGIÉ Margaux | 58 |
| 39 | EKLUND Nathalie | 58 |
| 42 | NERLO Aurela | 65 |
| 49 | JONCHERAY Victoire | 55 |
| 50 | CASTRIQUE Alana | 63 |
| 54 | HAYES Connie | 55 |
| 55 | FOUQUENET Amandine | 60 |