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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AFFINI Edoardo | 80 |
| 2 | CONCI Nicola | 68 |
| 3 | STORER Michael | 63 |
| 4 | KURIANOV Stepan | 74 |
| 6 | ALBANESE Vincenzo | 70 |
| 7 | SIVAKOV Pavel | 70 |
| 8 | HINDLEY Jai | 60 |
| 12 | CHERKASOV Nikolay | 68 |
| 13 | SAVINI Daniel | 58 |
| 16 | GARAVAGLIA Giacomo | 65 |
| 17 | VERZA Riccardo | 69 |
| 18 | GANDIN Stefano | 69 |
| 20 | FORTUNATO Lorenzo | 57 |
| 24 | ZANDOMENEGHI Simone | 61 |
| 27 | LUCCA Riccardo | 74 |
| 33 | PER Gorazd | 68 |
| 36 | BAIS Mattia | 66 |