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 = 0.8 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROSIERS Roger | 78 |
| 7 | DIDIER Lucien | 67 |
| 8 | KUIPER Hennie | 69 |
| 10 | VAN VLIET Leo | 65 |
| 11 | BITTINGER René | 69 |
| 16 | GILSON Roger | 70 |
| 18 | KELLY Sean | 77 |
| 19 | HASSINK Arie | 71 |
| 25 | DEN HERTOG Fedor | 76 |
| 26 | VAN DEN HOEK Aad | 77 |