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 = 1.3 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 5 | HINAULT Bernard | 62 |
| 6 | POULIDOR Raymond | 71 |
| 8 | RAAS Jan | 72 |
| 14 | OVION Régis | 64 |
| 15 | VAN IMPE Lucien | 59 |
| 17 | LADRÓN Rafael | 74 |
| 28 | ROSIERS Roger | 78 |
| 29 | SERCU Patrick | 76 |
| 36 | DEMEYER Marc | 85 |
| 37 | POLLENTIER Michel | 62 |
| 40 | KELLY Sean | 77 |
| 41 | SCHUITEN Roy | 83 |
| 64 | DEN HERTOG Fedor | 76 |
| 70 | SWERTS Roger | 75 |
| 71 | KUIPER Hennie | 69 |
| 79 | NOWICKI Mieczysław | 74 |