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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GANNA Filippo | 83 |
| 2 | CATTANEO Mattia | 67 |
| 3 | SOBRERO Matteo | 63 |
| 4 | VELASCO Simone | 59 |
| 5 | TIBERI Antonio | 62 |
| 6 | BARONCINI Filippo | 74 |
| 7 | AFFINI Edoardo | 80 |
| 8 | DE MARCHI Alessandro | 65 |
| 9 | MILESI Lorenzo | 70 |
| 10 | SCARONI Christian | 63 |
| 11 | FRIGO Marco | 70 |
| 12 | RIVI Samuele | 72 |
| 13 | RACCANI Simone | 64 |
| 14 | LUCCA Riccardo | 74 |
| 15 | PIETROBON Andrea | 72 |
| 19 | BELLERI Michael | 71 |
| 20 | GANDIN Stefano | 69 |