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 = -4.8 * weight + 393
This means that on average for every extra kilogram weight a rider loses -4.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 3 | GIMONDI Felice | 78 |
| 8 | VAN LOOY Rik | 73 |
| 9 | MERCKX Eddy | 74 |
| 11 | POST Peter | 79 |
| 18 | JANSSEN Jan | 76 |
| 22 | SWERTS Roger | 75 |
| 35 | PEFFGEN Wilfried | 67 |
| 52 | PFENNINGER Louis | 70 |
| 59 | ANQUETIL Jacques | 70 |
| 72 | NIJDAM Henk | 75 |
| 80 | FORÉ Noël | 73 |
| 84 | SCHLECK Johny | 72 |
| 103 | DOLMAN Evert | 71 |