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 = -16.8 * weight + 1865
This means that on average for every extra kilogram weight a rider loses -16.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 3 | JANSSEN Jan | 76 |
| 17 | FORESTIER Jean | 70 |
| 990 | BEHEYT Benoni | 71 |
| 990 | LELANGUE Robert | 72 |
| 990 | SIMPSON Tom | 69 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | ANQUETIL Jacques | 70 |
| 990 | ROSTOLLAN Louis | 68 |