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 = -0.7 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAULKNER Kristen | 62 |
| 2 | JACKSON Alison | 63 |
| 3 | MARKUS Riejanne | 61 |
| 4 | MAJERUS Christine | 56 |
| 5 | ANDERSEN Susanne | 55 |
| 6 | ERATH Tanja | 62 |
| 10 | WOOD Alice | 59 |
| 12 | CHABBEY Elise | 52 |
| 13 | CORDON-RAGOT Audrey | 60 |
| 15 | BRAND Lucinda | 57 |
| 16 | CANT Sanne | 57 |
| 19 | BERTIZZOLO Sofia | 54 |
| 20 | BIANNIC Aude | 64 |
| 21 | PEÑUELA Diana | 53 |