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 + 106
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DANNEELS Gustaaf | 70 |
| 2 | MERSCH Arsène | 73 |
| 4 | GARNIER Henri | 74 |
| 7 | WAUTERS Jean | 72 |
| 8 | BRAECKEVELDT Adolphe | 64 |
| 9 | LOWIE Jules | 68 |
| 11 | NEUVILLE François | 80 |
| 13 | MOERENHOUT Jef | 72 |
| 30 | VERDYCK August | 78 |
| 33 | VAN BRUAENE Armand | 70 |
| 58 | JOLY Émile | 75 |
| 60 | HENDRICKX Albert | 70 |
| 77 | DUNDER Franz | 64 |