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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGIOLI Andrea | 60 |
| 2 | ZAHIRI Abderrahim | 57 |
| 3 | VLASOV Aleksandr | 68 |
| 5 | SCARONI Christian | 63 |
| 6 | GARAVAGLIA Giacomo | 65 |
| 8 | RUBIO Einer | 56 |
| 11 | ZIMMERMANN Georg | 70 |
| 12 | COVILI Luca | 58 |
| 14 | ZANA Filippo | 65 |
| 18 | COVI Alessandro | 66 |
| 20 | OLDANI Stefano | 65 |
| 21 | ZANDOMENEGHI Simone | 61 |
| 22 | FEDELI Alessandro | 65 |