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 = 16.5 * weight - 536
This means that on average for every extra kilogram weight a rider loses 16.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIJNEN René | 72 |
| 3 | ZOETEMELK Joop | 68 |
| 5 | MAERTENS Freddy | 65 |
| 990 | MOURIOUX Jacques | 71 |
| 990 | DUCREUX Daniel | 65 |
| 990 | OVION Régis | 64 |
| 990 | DEMEYER Marc | 85 |
| 990 | POULIDOR Raymond | 71 |