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 = 1.5 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARONNI Giuseppe | 65 |
| 3 | GAVAZZI Pierino | 67 |
| 8 | PARECCHINI Aldo | 71 |
| 9 | KNUDSEN Knut | 79 |
| 14 | MARTINELLI Giuseppe | 74 |
| 16 | ALGERI Vittorio | 68 |
| 18 | VANDI Alfio | 64 |
| 29 | MOUNT George | 66 |
| 35 | BARONCHELLI Gianbattista | 72 |
| 38 | SEGERSALL Alf | 65 |
| 40 | PRIM Tommy | 76 |
| 48 | JOHANSSON Bernt | 71 |
| 67 | SCHUITEN Roy | 83 |