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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEWAELE Maurice | 69 |
| 2 | DOSSCHE Aimé | 75 |
| 3 | REBRY Gaston | 75 |
| 6 | VERVAECKE Julien | 70 |
| 7 | PARMENTIER Léon | 80 |
| 13 | HUYSE Omer | 71 |
| 15 | BROSTEAUX Georges | 70 |
| 16 | MASSELIS Jules | 65 |