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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCANDOLARA Valentina | 52 |
| 2 | RAGAZINSKIENE Daiva | 58 |
| 3 | CONFALONIERI Maria Giulia | 56 |
| 4 | JASINSKA Małgorzata | 57 |
| 5 | BASTIANELLI Marta | 60 |
| 7 | TREVISI Anna | 54 |
| 8 | VAN VLEUTEN Annemiek | 59 |
| 9 | VIECELI Lara | 59 |
| 10 | BOYARSKAYA Natalia | 67 |
| 12 | SLAPPENDEL Iris | 67 |
| 13 | ANTOSHINA Tatiana | 55 |
| 16 | PITEL Edwige | 52 |