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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOUCHARD Achille | 62 |
| 2 | LENAERS Victor | 80 |
| 6 | JORDENS Albert | 72 |
| 8 | VILLE Maurice | 68 |
| 9 | LACOLLE Roger | 82 |
| 11 | RICH Lucien | 61 |
| 12 | COOMANS Jacques | 62 |
| 13 | TUFENY Georges | 64 |
| 18 | GILLES Alexandre | 66 |