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 + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VLAEMYNCK Lucien | 63 |
| 3 | DE CALUWÉ Edgard | 75 |
| 4 | MITHOUARD Fernand | 74 |
| 5 | LACHAT Georges | 68 |
| 6 | WALSCHOT René | 68 |
| 7 | BOURLON Albert | 72 |
| 10 | FONTENAY Jean | 67 |
| 11 | HARDIQUEST Louis | 72 |
| 12 | BONDUEL Frans | 74 |
| 18 | BUSE Hermann | 74 |
| 26 | CHAVARD Guillaume | 84 |
| 27 | MASSON JR Émile | 78 |
| 29 | RUOZZI Gabriel | 63 |
| 33 | GARCIA Jean | 57 |
| 36 | LOUYET Léon | 64 |
| 37 | WALLE Marcel | 64 |
| 50 | DIDIER Christophe | 71 |