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 + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN GARDEREN Tejay | 72 |
| 2 | PINOT Thibaut | 63 |
| 3 | GALLOPIN Tony | 69 |
| 4 | KELDERMAN Wilco | 65 |
| 5 | HARDY Romain | 62 |
| 7 | DAMUSEAU Thomas | 64 |
| 9 | BARDET Romain | 65 |
| 10 | BOULO Matthieu | 62 |