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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MEULENBERG Eloi | 73 |
| 5 | BRAECKEVELDT Adolphe | 64 |
| 9 | MASSON JR Émile | 78 |
| 11 | MULLER Hubert | 74 |
| 14 | MERSCH Arsène | 73 |
| 17 | WALSCHOT René | 68 |
| 27 | PEDROLI René | 67 |
| 29 | WAUTERS Jean | 72 |
| 30 | NEUVILLE François | 80 |
| 33 | DECROIX Emile | 68 |
| 40 | HERCKENRATH Theo | 76 |