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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARCUSSEN Jørgen | 70 |
| 6 | SCHMID Iwan | 64 |
| 7 | NOWICKI Mieczysław | 74 |
| 9 | PIKKUUS Aavo | 76 |
| 10 | STEINMAYR Wolfgang | 63 |
| 12 | WEIBEL Peter | 69 |
| 19 | MITTEREGGER Rudolf | 68 |
| 24 | THALER Klaus-Peter | 60 |
| 25 | TAK Ad | 80 |
| 32 | NAJJARI Mustapha | 68 |
| 36 | JØRGENSEN Henning | 71 |
| 37 | TROTT Wilfried | 72 |
| 38 | VASILE Teodor | 66 |
| 39 | BLAUDZUN Verner | 68 |
| 54 | GLAUS Gilbert | 67 |