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 = 19 * weight - 980
This means that on average for every extra kilogram weight a rider loses 19 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURN Uroš | 70 |
| 2 | MAHORIČ Mitja | 68 |
| 4 | MIHOLJEVIĆ Vladimir | 68 |
| 5 | CIONI Dario David | 72 |
| 6 | WALTON Brian | 68 |
| 9 | RATTI Eddy | 64 |
| 990 | MOOS Alexandre | 64 |
| 990 | SAPA Marcin | 82 |
| 990 | PAOLINI Luca | 66 |