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 = 2.1 * weight - 99
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 5 | ARNDT Judith | 59 |
| 6 | LICHTENBERG Claudia | 52 |
| 7 | ABBOTT Mara | 52 |
| 8 | PUČINSKAITĖ Edita | 54 |
| 11 | FERRIER-BRUNEAU Christel | 53 |
| 15 | VŽESNIAUSKAITĖ Modesta | 57 |
| 18 | GRASSI Giuseppina | 56 |
| 25 | KASPER Romy | 59 |
| 26 | VILAJOSANA Marta | 57 |
| 28 | ANDRUK Alona | 56 |
| 29 | CORNEO Sigrid | 54 |
| 37 | SANDIG Madeleine | 62 |
| 38 | BOYARSKAYA Natalia | 67 |
| 43 | ROWE Danielle | 65 |