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 = -3.9 * weight + 323
This means that on average for every extra kilogram weight a rider loses -3.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWERTS Roger | 75 |
| 2 | GIMONDI Felice | 78 |
| 3 | MERCKX Eddy | 74 |
| 16 | DE VLAEMINCK Roger | 74 |
| 20 | PETTERSSON Gösta | 75 |
| 23 | RITTER Ole | 74 |
| 27 | POULIDOR Raymond | 71 |
| 34 | DOLMAN Evert | 71 |
| 41 | KARSTENS Gerben | 74 |
| 43 | MORTENSEN Leif | 70 |
| 47 | ROSIERS Roger | 78 |
| 49 | SERCU Patrick | 76 |
| 53 | BILSLAND William | 73 |
| 71 | SCHLECK Johny | 72 |
| 84 | PEFFGEN Wilfried | 67 |
| 86 | VAN IMPE Lucien | 59 |