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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ULISSI Diego | 63 |
| 2 | MALORI Adriano | 68 |
| 3 | PANTANO Jarlinson | 61 |
| 4 | PINOT Thibaut | 63 |
| 5 | NERZ Dominik | 67 |
| 6 | BETANCUR Carlos | 60 |
| 7 | FELLINE Fabio | 68 |
| 9 | HRINKOW Dominik | 61 |
| 10 | AREGGER Marcel | 70 |
| 11 | MAGAZZINI Enrico | 58 |
| 13 | PASQUALON Andrea | 75 |
| 14 | CHAVES Esteban | 55 |
| 15 | RATTO Daniele | 74 |
| 16 | SCHELLING Patrick | 61 |
| 17 | BALLONI Alfredo | 72 |
| 20 | SAGAN Juraj | 65 |