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 + 19
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOSHINA Tatiana | 55 |
| 2 | PAWLOWSKA Katarzyna | 60 |
| 3 | PITEL Edwige | 52 |
| 4 | BOYARSKAYA Natalia | 67 |
| 5 | CANUEL Karol-Ann | 51 |
| 6 | LÓPEZ Belén | 54 |
| 12 | ROORDA Stephanie | 70 |
| 16 | MUSTONEN Sara | 58 |
| 26 | VYSOTSKA Ievgeniia | 55 |
| 27 | DE BOER Sophie | 57 |
| 30 | VIECELI Lara | 59 |
| 37 | ALLEN Jessica | 55 |
| 45 | RODRIGUEZ Carolina | 58 |
| 49 | MAGNER Alexis | 57 |
| 53 | MANEEPHAN Jutatip | 59 |
| 62 | GRASSI Giuseppina | 56 |
| 64 | MARKUS Riejanne | 61 |