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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | VIEJO José Luis | 64 |
| 4 | POLLENTIER Michel | 62 |
| 5 | HUELAMO Jaime | 61 |
| 6 | ELORRIAGA Javier Francisco | 85 |
| 7 | LASA Miguel María | 68 |
| 11 | VAN LOOY Frans | 75 |
| 16 | DÍAZ Ventura | 72 |
| 19 | DE BRAUWERE Lucien | 63 |
| 22 | GODEFROOT Walter | 73 |
| 27 | DEMEYER Marc | 85 |