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 = -2.4 * weight + 204
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 4 | PRIM Tommy | 76 |
| 6 | SCHUITEN Roy | 83 |
| 8 | DEMIERRE Serge | 70 |
| 9 | BARONCHELLI Gianbattista | 72 |
| 10 | MOSER Francesco | 79 |
| 14 | MARCUSSEN Jørgen | 70 |
| 15 | SARONNI Giuseppe | 65 |
| 16 | WAMPERS Jean-Marie | 82 |
| 23 | VANDI Alfio | 64 |
| 24 | MINETTI Alberto | 69 |
| 63 | TREVORROW John | 67 |
| 90 | GAVAZZI Pierino | 67 |
| 92 | LASA Miguel María | 68 |