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 - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAKÁCS András | 65 |
| 2 | NELYUBIN Vladislav | 71 |
| 4 | WESEMANN Wolfgang | 70 |
| 5 | GERA Imre | 76 |
| 6 | GONSCHOREK Dieter | 70 |
| 7 | SZURKOWSKI Ryszard | 77 |
| 8 | DEBRECENI Tibor | 78 |
| 9 | GORELOV Nikolay | 70 |
| 10 | VÁZQUEZ Raúl Marcelo | 82 |