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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALDAG Rolf | 75 |
| 2 | ZBERG Markus | 69 |
| 3 | AEBERSOLD Niki | 58 |
| 4 | CAMENZIND Oscar | 62 |
| 5 | MEIER Armin | 69 |
| 6 | COMMESSO Salvatore | 66 |
| 7 | KONEČNÝ Tomáš | 67 |
| 8 | AERTS Mario | 68 |
| 12 | VOIGT Jens | 76 |
| 13 | BÖLTS Udo | 73 |
| 14 | VAN DE WOUWER Kurt | 66 |