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 = 1.9 * weight - 106
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHUMACHER Stefan | 71 |
| 4 | FUKUSHIMA Shinichi | 62 |
| 7 | TASHIRO Yasutaka | 54 |
| 8 | PFANNBERGER Christian | 63 |
| 20 | MAHORIČ Mitja | 68 |
| 23 | RABOŇ František | 74 |
| 27 | VALACH Ján | 75 |
| 61 | MAMOS Philipp | 72 |
| 62 | BRONIŠ Roman | 74 |