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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | ARNDT Judith | 59 |
| 4 | VAN DIJK Ellen | 71 |
| 5 | HOSKING Chloe | 60 |
| 6 | VISSER Adrie | 59 |
| 7 | BACCAILLE Monia | 61 |
| 8 | GUNNEWIJK Loes | 67 |
| 10 | OLDS Shelley | 54 |
| 11 | BRONZINI Giorgia | 54 |
| 14 | BASTIANELLI Marta | 60 |
| 15 | RYAN Kendall | 59 |
| 17 | BECKER Charlotte | 64 |
| 18 | CECCHINI Elena | 52 |
| 19 | SCANDOLARA Valentina | 52 |