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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMUSSO Francesco | 66 |
| 2 | AERTS Jean | 70 |
| 3 | BULLA Max | 75 |
| 4 | DEMUYSERE Joseph | 78 |
| 6 | SCHEPERS Alfons | 80 |
| 7 | HARDIQUEST Louis | 72 |
| 8 | ARCHAMBAUD Maurice | 66 |
| 9 | FAURE Benoît | 58 |
| 10 | MITHOUARD Fernand | 74 |