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 = -0.8 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLAUS Gilbert | 67 |
| 2 | ROCHE Stephen | 74 |
| 3 | SUKHORUCHENKOV Sergei | 72 |
| 4 | MADIOT Marc | 68 |
| 7 | BITTINGER René | 69 |
| 9 | JOURDAN Christian | 64 |
| 11 | OVION Régis | 64 |
| 12 | RÍOS Abelardo Antonio | 63 |
| 16 | MEDINA Mario | 68 |