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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORTOLAMI Gianluca | 73 |
| 2 | ZANINI Stefano | 80 |
| 4 | LOMBARDI Giovanni | 73 |
| 7 | LODA Nicola | 73 |
| 8 | PETACCHI Alessandro | 70 |
| 9 | BARTOLI Michele | 65 |
| 10 | FORCONI Riccardo | 71 |
| 11 | ANDRIOTTO Dario | 68 |
| 12 | CASAROTTO Davide | 74 |
| 13 | CELESTINO Mirko | 67 |
| 14 | TAFI Andrea | 73 |
| 16 | AGGIANO Elio | 63 |
| 17 | PICCOLI Mariano | 64 |
| 20 | DONATI Massimo | 75 |
| 21 | BÖLTS Udo | 73 |