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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIONI Dario David | 72 |
| 2 | PERON Andrea | 70 |
| 3 | PINOTTI Marco | 67 |
| 4 | BASSO Ivan | 70 |
| 5 | ERMETI Giairo | 60 |
| 6 | BRUSEGHIN Marzio | 70 |
| 7 | QUINZIATO Manuel | 74 |
| 8 | POZZATO Filippo | 73 |
| 13 | SGAMBELLURI Roberto | 63 |
| 15 | ANDRIOTTO Dario | 68 |
| 17 | MILESI Marco | 78 |
| 23 | LODA Nicola | 73 |
| 24 | DONATI Alessandro | 71 |
| 26 | NOCENTINI Rinaldo | 60 |
| 27 | FAILLI Francesco | 65 |