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 = 1.9 * weight - 125
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOERENHOUT Jef | 72 |
| 5 | DELOOR Gustaaf | 79 |
| 6 | DELOOR Alfons | 72 |
| 7 | DIGNEF Antoon | 70 |
| 16 | LALOUP Georges | 72 |
| 17 | ROOSEMONT Leopold | 80 |
| 19 | JOLY Émile | 75 |
| 33 | GARNIER Henri | 74 |
| 37 | VERDYCK August | 78 |
| 40 | VAN DER RUIT Gerrit | 80 |