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 = 0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VILLE Maurice | 68 |
| 3 | LENAERS Victor | 80 |
| 5 | COOMANS Jacques | 62 |
| 6 | SOUCHARD Achille | 62 |
| 7 | BIDOT Marcel | 78 |
| 12 | LACOLLE Roger | 82 |
| 13 | GARBY Jean | 65 |
| 14 | RICH Lucien | 61 |
| 15 | GOBILLOT Marcel | 58 |
| 17 | TUFENY Georges | 64 |
| 19 | JORDENS Albert | 72 |
| 20 | GILLES Alexandre | 66 |
| 25 | GRÉAU Eugène | 84 |
| 29 | FAIVRE Aimé | 67 |
| 30 | CARETTE Jacques | 71 |