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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONGH Steven | 76 |
| 2 | VIERHOUTEN Aart | 71 |
| 3 | PEETERS Wilfried | 76 |
| 4 | VAN DE WOUWER Kurt | 66 |
| 5 | KOERTS Jans | 78 |
| 7 | BOONEN Tom | 82 |
| 9 | GILMORE Matthew | 67 |
| 11 | OMLOOP Geert | 78 |
| 13 | PRONK Matthé | 73 |
| 15 | DE WILDE Etienne | 70 |
| 16 | DE WAELE Fabien | 62 |
| 19 | LÖWIK Gerben | 72 |
| 21 | DE GROOT Bram | 65 |
| 22 | CRETSKENS Wilfried | 75 |