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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉLISSIER Francis | 80 |
| 2 | JACQUINOT Robert | 75 |
| 5 | NEMPON Jules | 58 |
| 6 | JAVAUX Benjamin | 73 |
| 8 | ALAVOINE Jean | 73 |
| 9 | RICH Lucien | 61 |
| 10 | MOULET Fernand | 79 |
| 12 | DELOFFRE Jules | 60 |
| 13 | POTHIER Lucien | 77 |
| 14 | COLLEU Marcel | 59 |