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 = 0.7 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMENZIND Oscar | 62 |
| 2 | AEBERSOLD Niki | 58 |
| 3 | MEIER Armin | 69 |
| 4 | MEIER Roland | 60 |
| 6 | ZBERG Markus | 69 |
| 7 | BÖLTS Udo | 73 |
| 10 | SASTRE Carlos | 61 |
| 11 | ANDERSSON Michael | 71 |
| 13 | HUSER Rolf | 65 |
| 17 | PESCHEL Uwe | 72 |
| 18 | RIIS Bjarne | 71 |
| 19 | ALDAG Rolf | 75 |
| 20 | KONEČNÝ Tomáš | 67 |