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 = -1.6 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | LACOMBE Roland | 77 |
| 20 | BEHEYT Benoni | 71 |
| 23 | SIMPSON Tom | 69 |
| 23 | ROSTOLLAN Louis | 68 |
| 23 | TRAPÈ Livio | 75 |
| 23 | VANDEN BERGHEN Willy | 76 |
| 23 | FORESTIER Jean | 70 |
| 54 | LELANGUE Robert | 72 |
| 57 | IMPANIS Raymond | 69 |