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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | MERCKX Eddy | 74 |
| 4 | GIMONDI Felice | 78 |
| 6 | JANSSEN Jan | 76 |
| 7 | ANQUETIL Jacques | 70 |
| 8 | BALMAMION Franco | 67 |
| 10 | PFENNINGER Louis | 70 |
| 24 | SCHLECK Johny | 72 |