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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTOLI Michele | 65 |
| 2 | SIMONI Gilberto | 59 |
| 3 | NARDELLO Daniele | 74 |
| 4 | BELLI Wladimir | 64 |
| 6 | SERPELLINI Marco | 75 |
| 7 | BETTINI Paolo | 58 |
| 8 | REBELLIN Davide | 63 |
| 9 | TRENTIN Guido | 65 |
| 10 | SIMEONI Filippo | 68 |
| 12 | LOMBARDI Giovanni | 73 |
| 13 | ZANINI Stefano | 80 |
| 14 | COMMESSO Salvatore | 66 |
| 19 | PETACCHI Alessandro | 70 |
| 20 | MAZZOLENI Eddy | 67 |
| 21 | FERRARI Diego | 74 |
| 24 | MORI Massimiliano | 77 |