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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SPRINGEL Herman | 72 |
| 2 | OVION Régis | 64 |
| 3 | MAERTENS Freddy | 65 |
| 4 | GODEFROOT Walter | 73 |
| 5 | RAAS Jan | 72 |
| 10 | HINAULT Bernard | 62 |
| 15 | MERCKX Eddy | 74 |
| 17 | POLLENTIER Michel | 62 |
| 18 | POULIDOR Raymond | 71 |