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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNEZ Fernand | 88 |
| 2 | SCHEPERS Alfons | 80 |
| 3 | REBRY Gaston | 75 |
| 4 | LAPÉBIE Roger | 74 |
| 5 | RINALDI Gaspard | 71 |
| 6 | LOUYET Léon | 64 |
| 7 | MONCIERO Auguste | 66 |
| 8 | BUTTAFOCCHI Adrien | 75 |
| 9 | CAMUSSO Francesco | 66 |
| 10 | BIDOT Jean | 65 |