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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARCHAMBAUD Maurice | 66 |
| 2 | SPEICHER Georges | 73 |
| 3 | LAPÉBIE Roger | 74 |
| 4 | BUTTAFOCCHI Adrien | 75 |
| 6 | RINALDI Gaspard | 71 |
| 7 | JAMINET Pierre | 70 |
| 9 | MONCIERO Auguste | 66 |
| 10 | CLOAREC Pierre | 78 |
| 12 | MITHOUARD Fernand | 74 |
| 14 | HAAS François | 66 |
| 23 | LADRON Théodore | 60 |
| 24 | DRIANCOURT Jean | 68 |
| 25 | IGNAT Émile | 75 |
| 30 | BERTY Charles | 76 |