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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAJKA Rafał | 62 |
| 2 | VISCONTI Giovanni | 63 |
| 3 | GROŠELJ Žiga | 62 |
| 4 | HAIG Jack | 67 |
| 5 | BELLETTI Manuel | 72 |
| 6 | PACIONI Luca | 67 |
| 7 | MÜHLBERGER Gregor | 64 |
| 10 | JERMAN Žiga | 67 |
| 11 | MARTÍNEZ Daniel Felipe | 63 |
| 12 | VENDRAME Andrea | 60 |
| 14 | SCHÖNBERGER Sebastian | 64 |
| 15 | KUKRLE Michael | 73 |
| 16 | POGAČAR Tadej | 66 |
| 18 | PER David | 81 |
| 19 | BALLERINI Davide | 71 |