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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WEENING Pieter | 68 |
| 2 | STRGAR Matic | 62 |
| 3 | ROGINA Radoslav | 70 |
| 4 | KONEČNÝ Tomáš | 67 |
| 7 | MAHORIČ Mitja | 68 |
| 8 | KVASINA Matija | 72 |
| 9 | GOLČER Jure | 66.5 |
| 10 | PFANNBERGER Christian | 63 |