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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | BRAND Lucinda | 57 |
| 4 | MAJERUS Christine | 56 |
| 5 | BASTIANELLI Marta | 60 |
| 8 | WILD Kirsten | 75 |
| 9 | PIETERS Amy | 58 |
| 13 | SMALL Carmen | 55 |
| 14 | CECCHINI Elena | 52 |
| 16 | KASPER Romy | 59 |
| 17 | GUARISCHI Barbara | 57 |
| 18 | CONFALONIERI Maria Giulia | 56 |
| 19 | KOPECKY Lotte | 66 |
| 22 | HANNES Kaat | 51 |
| 24 | GUARNIER Megan | 54 |