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 - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIERINCKX Robert | 72 |
| 3 | MOERENHOUT Jef | 72 |
| 4 | LE DROGO Paul | 69 |
| 5 | FRANZIL Dante | 62 |
| 6 | LOUYET Léon | 64 |
| 7 | MEULENBERG Eloi | 73 |
| 8 | FONTENAY Jean | 67 |
| 10 | LOWIE Jules | 68 |
| 12 | GOASMAT Jean-Marie | 60 |
| 14 | CLOAREC Pierre | 78 |
| 17 | DRIANCOURT Jean | 68 |
| 20 | LE GUÉVEL Lucien | 70 |
| 26 | LEROUX Sezny | 78 |
| 27 | ROYER Rémy | 80 |
| 28 | HÄNDEL Erich | 75 |