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 = 9.6 * weight + 150
This means that on average for every extra kilogram weight a rider loses 9.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OVION Régis | 64 |
| 5 | ZOETEMELK Joop | 68 |
| 990 | SCHLECK Johny | 72 |
| 990 | VASSEUR Alain | 67 |
| 990 | MORTENSEN Leif | 70 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | HUBSCHMID Bruno | 74 |
| 990 | MARTIN Raymond | 62 |
| 990 | POULIDOR Raymond | 71 |
| 990 | POLLENTIER Michel | 62 |
| 990 | DEMEYER Marc | 85 |