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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAZZANTI Luca | 64 |
| 4 | SGAMBELLURI Roberto | 63 |
| 7 | MASCIARELLI Simone | 63 |
| 8 | DONATI Massimo | 75 |
| 9 | SPEZIALETTI Alessandro | 67 |
| 10 | COMMESSO Salvatore | 66 |
| 11 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 13 | KADLEC Milan | 70 |
| 17 | PUGACI Igor | 67 |
| 20 | CASAGRANDE Filippo | 63 |
| 22 | GIUNTI Massimo | 62 |
| 23 | RIGHI Daniele | 70 |
| 24 | GIORDANI Leonardo | 68 |
| 25 | MARZOLI Ruggero | 61 |
| 26 | PALUMBO Giuseppe | 61 |