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 = 25.8 * weight - 1174
This means that on average for every extra kilogram weight a rider loses 25.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | MERCKX Eddy | 74 |
| 5 | LASA Miguel María | 68 |
| 6 | MORTENSEN Leif | 70 |
| 9 | ZOETEMELK Joop | 68 |
| 990 | SWERTS Roger | 75 |
| 990 | VASSEUR Alain | 67 |
| 990 | ROSIERS Roger | 78 |
| 990 | PFENNINGER Louis | 70 |
| 990 | PEFFGEN Wilfried | 67 |
| 990 | DIERICKX André | 74 |
| 990 | DEMEYER Marc | 85 |
| 990 | DÍAZ Ventura | 72 |
| 990 | MOURIOUX Jacques | 71 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | GODEFROOT Walter | 73 |