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 = -0.9 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON Alison | 63 |
| 2 | VOS Marianne | 58 |
| 6 | KESSLER Nina | 60 |
| 8 | MANLY Alexandra | 53 |
| 9 | FAHLIN Emilia | 63 |
| 10 | WOOD Alice | 59 |
| 13 | GUARISCHI Barbara | 57 |
| 14 | DRONOVA-BALABOLINA Tamara | 63 |
| 16 | PIRRONE Elena | 63 |
| 17 | VERHULST-WILD Gladys | 58 |
| 18 | VIGIÉ Margaux | 58 |
| 22 | MACKAIJ Floortje | 57 |
| 24 | KRAAK Amber | 52 |
| 25 | BRAND Lucinda | 57 |