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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | RICCOMI Walter | 66 |
| 3 | GAVAZZI Pierino | 67 |
| 8 | BARONCHELLI Gianbattista | 72 |
| 9 | LASA Miguel María | 68 |
| 16 | MARCUSSEN Jørgen | 70 |
| 17 | EDWARDS Phil | 80 |
| 18 | VANDI Alfio | 64 |
| 26 | PARECCHINI Aldo | 71 |
| 60 | BIDDLE Bruce | 64 |
| 62 | SERCU Patrick | 76 |