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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEREZ CUAPIO Julio Alberto | 58 |
| 6 | CIGANA Massimo | 74 |
| 7 | MAGNANI Marco | 64 |
| 8 | BALIANI Fortunato | 66 |
| 10 | GIANETTI Mauro | 62 |
| 13 | VALJAVEC Tadej | 59 |
| 17 | SIMEONI Filippo | 68 |
| 18 | DONATI Massimo | 75 |
| 19 | SGAMBELLURI Roberto | 63 |