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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZZANTI Luca | 64 |
| 2 | ZAMPIERI Steve | 62 |
| 3 | LUNGHI Denis | 61 |
| 5 | TONKOV Pavel | 70 |
| 6 | PELLIZOTTI Franco | 64 |
| 7 | CASAGRANDE Francesco | 64 |
| 8 | IVANOV Sergei | 73 |
| 9 | SCARPONI Michele | 62 |
| 10 | CELESTINO Mirko | 67 |
| 11 | VELO Marco | 70 |
| 12 | KOLOBNEV Alexandr | 64 |
| 13 | POPOVYCH Yaroslav | 64 |
| 14 | MIHOLJEVIĆ Vladimir | 68 |
| 15 | TIRALONGO Paolo | 63 |
| 17 | PANTANI Marco | 58 |