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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DISSEAUX Albertin | 67 |
| 4 | SOFFIETTI Joseph | 70 |
| 5 | VIROL Gérard | 65 |
| 9 | ROSSI Giulio | 76 |
| 12 | MITHOUARD Fernand | 74 |
| 14 | LE GUÉVEL Lucien | 70 |
| 15 | DEBENNE René | 64 |
| 16 | SPEICHER Georges | 73 |
| 17 | GOASMAT Jean-Marie | 60 |
| 19 | VIETTO René | 67 |
| 20 | GIANELLO Dante | 57 |
| 24 | LACHAT Georges | 68 |
| 25 | DUCAZEAUX Sauveur | 65 |
| 32 | CARINI Bruno | 69 |
| 34 | MARCAILLOU Sylvain | 70 |
| 35 | MERVIEL Jules | 68 |