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 = 1.2 * weight - 35
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARNDT Judith | 59 |
| 7 | SOEDER Christiane | 52 |
| 8 | MATUSIAK Bogumiła | 58 |
| 10 | VŽESNIAUSKAITĖ Modesta | 57 |
| 13 | ARMSTRONG Kristin | 58 |
| 18 | HEEB Barbara | 51 |
| 22 | LINDBERG Madeleine | 63 |
| 41 | ANDERSEN Mette | 68 |
| 46 | BOYARSKAYA Natalia | 67 |
| 47 | BECKER Charlotte | 64 |
| 51 | SANDIG Madeleine | 62 |
| 61 | CANTELE Noemi | 58 |
| 64 | CORNEO Sigrid | 54 |
| 65 | ROSSNER Petra | 64 |
| 87 | TCHALYKH Elena | 56 |