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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GANNA Filippo | 83 |
| 2 | AFFINI Edoardo | 80 |
| 3 | BARONCINI Filippo | 74 |
| 4 | MILAN Jonathan | 87 |
| 5 | TRENTIN Matteo | 74 |
| 6 | MILESI Lorenzo | 70 |
| 7 | MAESTRI Mirco | 73 |
| 8 | DE MARCHI Alessandro | 65 |
| 9 | GERMANI Lorenzo | 62 |
| 10 | VERRE Alessandro | 59 |
| 11 | MORO Manlio | 81 |
| 12 | ZOCCARATO Samuele | 74 |
| 13 | BAIS Mattia | 66 |
| 14 | LUCCA Riccardo | 74 |
| 15 | PIETROBON Andrea | 72 |
| 17 | KONYCHEV Alexander | 76 |
| 19 | ZAMBELLI Samuele | 70 |