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 = 1.1 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARTNICK Hans-Joachim | 76 |
| 2 | SZOZDA Stanisław | 68 |
| 3 | LAUKE Gerhard | 73 |
| 5 | MYTNIK Tadeusz | 75 |
| 8 | NOWICKI Mieczysław | 74 |
| 11 | DROGAN Bernd | 69 |
| 18 | SCHMID Iwan | 64 |
| 21 | HANSEN Pål Henning | 63 |
| 25 | GORELOV Nikolay | 70 |
| 27 | PÉREZ Jorge Antonio | 58 |
| 28 | SCHÜR Fritz | 74 |
| 29 | DIERS Karl-Dietrich | 73 |
| 30 | VASILE Teodor | 66 |
| 32 | HANSSON Leif | 77 |
| 46 | THALMANN Robert | 75 |
| 49 | BRÅTHEN Stein | 89 |
| 65 | SZUROMI György | 85 |