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 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | MERCKX Eddy | 74 |
| 5 | LASA Miguel María | 68 |
| 6 | MORTENSEN Leif | 70 |
| 10 | ZOETEMELK Joop | 68 |
| 19 | TSCHAN Jürgen | 68 |
| 30 | DIERICKX André | 74 |
| 33 | ROSIERS Roger | 78 |
| 35 | GODEFROOT Walter | 73 |
| 43 | DÍAZ Ventura | 72 |
| 49 | PEFFGEN Wilfried | 67 |
| 52 | MOURIOUX Jacques | 71 |
| 63 | SWERTS Roger | 75 |
| 69 | PFENNINGER Louis | 70 |
| 71 | VASSEUR Alain | 67 |
| 82 | DEMEYER Marc | 85 |