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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMANDEL René | 75 |
| 2 | VERSCHUEREN Denis | 91 |
| 3 | VAN BRUAENE Adolf | 77 |
| 4 | VAN AKEN Léon | 73 |
| 6 | STANDAERT Alfons | 72 |
| 10 | OMEY Cyriel | 70 |
| 14 | PÉ Joseph | 68 |
| 15 | MATTON Jules | 73 |
| 16 | JORDENS Albert | 72 |