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 = -1.1 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BRACKE Ferdinand | 79 |
| 5 | JANSSEN Jan | 76 |
| 9 | GIMONDI Felice | 78 |
| 10 | MERCKX Eddy | 74 |
| 23 | SWERTS Roger | 75 |
| 32 | GODEFROOT Walter | 73 |
| 43 | SCHLECK Johny | 72 |
| 46 | HUGENS Jan | 83 |
| 48 | FORÉ Noël | 73 |
| 52 | POST Peter | 79 |
| 65 | VAN LOOY Rik | 73 |
| 81 | DAEMS Emile | 64 |
| 86 | GLEMSER Peter | 82 |