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 = 27.5 * weight - 1145
This means that on average for every extra kilogram weight a rider loses 27.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | DE BRUYNE Alfred | 68 |
| 990 | BOBET Louison | 74 |
| 990 | ANQUETIL Jacques | 70 |
| 990 | FORESTIER Jean | 70 |
| 990 | IMPANIS Raymond | 69 |
| 990 | FORÉ Noël | 73 |
| 990 | VAN STEENBERGEN Rik | 83 |