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 = -1.4 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | SEFTON Clyde | 68 |
| 8 | GAVAZZI Pierino | 67 |
| 10 | MARTINELLI Giuseppe | 74 |
| 11 | JOHANSSON Bernt | 71 |
| 16 | RICCOMI Walter | 66 |
| 28 | TREVORROW John | 67 |
| 34 | VANDI Alfio | 64 |
| 35 | ALGERI Vittorio | 68 |
| 46 | PARECCHINI Aldo | 71 |