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 = 2.8 * weight - 164
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANQUETIL Jacques | 70 |
| 4 | GAUL Charly | 64 |
| 7 | VAN LOOY Rik | 73 |
| 20 | BALMAMION Franco | 67 |
| 26 | ERNZER Marcel | 69 |
| 31 | ROSTOLLAN Louis | 68 |
| 54 | MEALLI Bruno | 73 |
| 76 | BAILETTI Antonio | 70 |