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 = -0.7 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORÉ Noël | 73 |
| 2 | POST Peter | 79 |
| 4 | VAN LOOY Rik | 73 |
| 14 | BEHEYT Benoni | 71 |
| 35 | LACOMBE Roland | 77 |
| 37 | CERAMI Pino | 72 |
| 42 | VANDEN BERGHEN Willy | 76 |
| 47 | LELANGUE Robert | 72 |