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 = 1.6 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VIETTO René | 67 |
| 8 | OCKERS Stan | 61 |
| 15 | COGAN Pierre | 68 |
| 17 | GOASMAT Jean-Marie | 60 |
| 25 | BOURLON Albert | 72 |
| 26 | MALLET Auguste | 53 |
| 36 | VAN SCHENDEL Albert | 72 |
| 39 | RUOZZI Gabriel | 63 |
| 59 | LAMBRICHS Jan | 67 |
| 65 | GOUTAL Albert | 68 |
| 70 | NEUVILLE François | 80 |