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 = 2.2 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 4 | FORÉ Noël | 73 |
| 19 | BRACKE Ferdinand | 79 |
| 21 | JANSSEN Jan | 76 |
| 34 | DAEMS Emile | 64 |
| 41 | SCHLECK Johny | 72 |
| 49 | VAN LOOY Rik | 73 |
| 61 | HUGENS Jan | 83 |
| 63 | GIMONDI Felice | 78 |
| 65 | POST Peter | 79 |
| 67 | MERCKX Eddy | 74 |
| 78 | SWERTS Roger | 75 |
| 80 | GLEMSER Peter | 82 |