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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | BOOGERD Michael | 62 |
| 3 | DE JONGH Steven | 76 |
| 4 | KNAVEN Servais | 68 |
| 5 | PEERS Chris | 73 |
| 6 | TOMBAK Janek | 71 |
| 8 | RODRIGUEZ Fred | 68 |
| 9 | VAN HEESWIJK Max | 73 |
| 10 | FLAMMANG Tom | 80 |
| 11 | HAMMOND Roger | 71 |
| 12 | VIERHOUTEN Aart | 71 |
| 13 | OMLOOP Geert | 78 |