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 = -0.5 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEHEYT Benoni | 71 |
| 2 | SIMPSON Tom | 69 |
| 8 | VAN LOOY Rik | 73 |
| 16 | VAN DAELE Leon | 78 |
| 18 | POST Peter | 79 |
| 20 | JANSSEN Jan | 76 |
| 28 | DAEMS Emile | 64 |
| 33 | LELANGUE Robert | 72 |
| 35 | FORÉ Noël | 73 |
| 43 | IMPANIS Raymond | 69 |