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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARRARA Matteo | 67 |
| 3 | BENNATI Daniele | 71 |
| 4 | PETITO Roberto | 78 |
| 5 | PUGACI Igor | 67 |
| 6 | MASCIARELLI Simone | 63 |
| 7 | MORI Massimiliano | 77 |
| 9 | ALBIZU Joseba | 61 |
| 10 | ŠTANGELJ Gorazd | 70 |
| 12 | SIMEONI Filippo | 68 |
| 13 | NURITDINOV Rafael | 68 |
| 15 | VALOTI Paolo | 64 |