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 = 1.7 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 4 | PRIM Tommy | 76 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 7 | SARONNI Giuseppe | 65 |
| 12 | BERNAUDEAU Jean-René | 64 |
| 15 | KNUDSEN Knut | 79 |
| 18 | LASA Miguel María | 68 |
| 24 | FERNÁNDEZ Juan | 68 |
| 33 | MARCUSSEN Jørgen | 70 |
| 41 | LADRÓN Rafael | 74 |
| 45 | DIDIER Lucien | 67 |
| 56 | GAVAZZI Pierino | 67 |
| 70 | ALGERI Vittorio | 68 |
| 77 | MARTINELLI Giuseppe | 74 |
| 81 | SCHUITEN Roy | 83 |