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 = 1.2 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAECKEVELDT Adolphe | 64 |
| 4 | MULLER Hubert | 74 |
| 5 | WALSCHOT René | 68 |
| 6 | WAUTERS Jean | 72 |
| 7 | GARNIER Henri | 74 |
| 12 | NEUVILLE François | 80 |
| 15 | DICTUS Frans | 74 |
| 18 | DECROIX Emile | 68 |
| 20 | MEULENBERG Eloi | 73 |
| 22 | VANOVERBERGHE Cyriel | 75 |
| 25 | MASSON JR Émile | 78 |
| 43 | PEDROLI René | 67 |
| 47 | DELOOR Gustaaf | 79 |
| 63 | HERCKENRATH Theo | 76 |
| 75 | MERSCH Arsène | 73 |