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 = 0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCUSSEN Jørgen | 70 |
| 6 | SCHÜR Fritz | 74 |
| 8 | THALER Klaus-Peter | 60 |
| 10 | ANDRESEN Thorleif | 75 |
| 11 | DIGERUD Geir | 77 |
| 16 | VANDI Alfio | 64 |
| 17 | STEINMAYR Wolfgang | 63 |
| 19 | WEIBEL Peter | 69 |
| 22 | NAJJARI Mustapha | 68 |
| 31 | SPINDLER Herbert | 71 |
| 33 | HANSEN Pål Henning | 63 |
| 41 | MITTEREGGER Rudolf | 68 |
| 43 | VASILE Teodor | 66 |
| 45 | LADRÓN Rafael | 74 |
| 46 | SCHMID Iwan | 64 |
| 65 | THALMANN Robert | 75 |