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 = 24.1 * weight - 1234
This means that on average for every extra kilogram weight a rider loses 24.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SZOZDA Stanisław | 68 |
| 5 | SPINDLER Herbert | 71 |
| 6 | PRCHAL Jiri | 77 |
| 10 | MUCKENHUBER Peter | 66 |
| 990 | MATOUŠEK Petr | 82 |
| 990 | MITTEREGGER Rudolf | 68 |
| 990 | HUMENBERGER Roman | 73 |
| 990 | WEIBEL Peter | 69 |