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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRARI Diego | 74 |
| 2 | WINN Julian | 70 |
| 3 | MIHOLJEVIĆ Vladimir | 68 |
| 4 | ZAMPIERI Steve | 62 |
| 5 | WIGGINS Bradley | 76 |
| 6 | KONDIS Ľuboš | 75 |
| 7 | ZUCCONI Pietro | 63 |
| 9 | TALABARDON Sébastien | 67 |
| 10 | KARPETS Vladimir | 79 |
| 12 | CUMMINGS Steve | 73 |
| 13 | GASPARRE Graziano | 60 |
| 14 | RASMUSSEN Michael | 58 |