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 = 1.4 * weight - 80
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUIPER Hennie | 69 |
| 2 | POLLENTIER Michel | 62 |
| 7 | MAERTENS Freddy | 65 |
| 16 | SCHMID Iwan | 64 |
| 21 | SCHUITEN Roy | 83 |
| 25 | BIDDLE Bruce | 64 |
| 26 | PIJNEN René | 72 |
| 47 | DEMEYER Marc | 85 |
| 48 | BRACKE Ferdinand | 79 |