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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 3 | WAMPERS Jean-Marie | 82 |
| 6 | GAVAZZI Pierino | 67 |
| 7 | MOSER Francesco | 79 |
| 10 | VANDI Alfio | 64 |
| 16 | SARONNI Giuseppe | 65 |
| 17 | SEGERSALL Alf | 65 |
| 24 | PRIM Tommy | 76 |
| 28 | DIGERUD Geir | 77 |
| 31 | DEMIERRE Serge | 70 |