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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 3 | POLLACK Olaf | 77 |
| 4 | MUSEEUW Johan | 71 |
| 5 | MICHAELSEN Lars | 79 |
| 6 | CAPELLE Ludovic | 75 |
| 7 | STREEL Marc | 69 |
| 8 | NAZON Jean-Patrick | 74 |
| 9 | HASELBACHER René | 69 |
| 10 | VOSKAMP Bart | 75 |
| 12 | LÖWIK Gerben | 72 |
| 16 | OMLOOP Geert | 78 |
| 17 | GARDEYN Gorik | 75 |
| 18 | PENCOLÉ Franck | 74 |
| 19 | PRONK Matthé | 73 |