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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Yvan | 80 |
| 2 | LEVEL Léon | 64 |
| 4 | KRAUS Maurice | 61 |
| 6 | CORALLINI René-Paul | 63 |
| 9 | FRÉCHAUT Jean | 78 |
| 10 | VAN SCHENDEL Antoon | 82 |
| 11 | FRANZIL Dante | 62 |
| 16 | GIANELLO Dante | 57 |