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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGIOLI Andrea | 60 |
| 2 | SCARONI Christian | 63 |
| 4 | VLASOV Aleksandr | 68 |
| 6 | ZAHIRI Abderrahim | 57 |
| 7 | GARAVAGLIA Giacomo | 65 |
| 10 | PORZNER Manuel | 75 |
| 12 | COVILI Luca | 58 |
| 13 | MAZZUCCO Fabio | 69 |
| 14 | FORTUNATO Lorenzo | 57 |
| 15 | ZIMMERMANN Georg | 70 |
| 18 | ZANA Filippo | 65 |
| 19 | KURIANOV Stepan | 74 |
| 20 | GAMPER Mario | 72 |
| 22 | OLDANI Stefano | 65 |
| 23 | ZANDOMENEGHI Simone | 61 |