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 = -2.3 * weight + 203
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | KARSTENS Gerben | 74 |
| 10 | SCHLECK Johny | 72 |
| 15 | GODEFROOT Walter | 73 |
| 21 | SWERTS Roger | 75 |
| 23 | LASA José Manuel | 77 |
| 28 | PFENNINGER Louis | 70 |
| 32 | SAÉZ Ramón | 74 |
| 35 | LEWIS Colin | 70 |
| 36 | MARINE Jorge | 69 |
| 40 | JANSSEN Jan | 76 |
| 42 | GIMONDI Felice | 78 |
| 55 | POULIDOR Raymond | 71 |
| 66 | DÍAZ Ventura | 72 |
| 71 | BALMAMION Franco | 67 |