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 = 0.4 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORDON-RAGOT Audrey | 60 |
| 2 | DUYCK Ann-Sophie | 60 |
| 3 | SIMMONDS Hayley | 55 |
| 4 | ZABELINSKAYA Olga | 52 |
| 5 | PITEL Edwige | 52 |
| 6 | DUVAL Eugénie | 53 |
| 8 | VAN DE VELDE Julie | 58 |
| 12 | BECKERS Isabelle | 67 |
| 14 | OYARBIDE Lourdes | 52 |
| 19 | POMARES Cindy | 63 |