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 = -0.9 * weight + 86
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 3 | DEMEYER Marc | 85 |
| 9 | MERCKX Eddy | 74 |
| 11 | GODEFROOT Walter | 73 |
| 19 | BILSLAND William | 73 |
| 21 | POLLENTIER Michel | 62 |
| 32 | JOLLY Brian | 76 |
| 33 | SWERTS Roger | 75 |
| 38 | BAYTON Phil | 61 |
| 44 | VASSEUR Alain | 67 |
| 46 | DIERICKX André | 74 |
| 49 | DE BRAUWERE Lucien | 63 |