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 = -1.5 * weight + 143
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMPSON Tom | 69 |
| 6 | VAN LOOY Rik | 73 |
| 9 | GODEFROOT Walter | 73 |
| 10 | MERCKX Eddy | 74 |
| 14 | POULIDOR Raymond | 71 |
| 16 | ANQUETIL Jacques | 70 |
| 17 | GIMONDI Felice | 78 |
| 19 | JANSSEN Jan | 76 |
| 37 | ROSIERS Roger | 78 |
| 45 | PFENNINGER Louis | 70 |
| 52 | DUCHEMIN Marcel | 60 |
| 54 | BRACKE Ferdinand | 79 |
| 73 | LELANGUE Robert | 72 |
| 78 | ROSTOLLAN Louis | 68 |
| 79 | RÉAUX Raymond | 69 |