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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLE Maurice | 68 |
| 2 | VERMANDEL René | 75 |
| 6 | MASSON Émile | 77 |
| 7 | DEWAELE Maurice | 69 |
| 8 | BOBO Pierre | 70 |
| 10 | PELLETIER José | 72 |
| 12 | HELLEBAUT Hilaire | 74 |
| 14 | FRANTZ Nicolas | 78 |
| 15 | DEJAEGER Henri | 74 |