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 = 0.5 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN SPRINGEL Herman | 72 |
| 4 | KUIPER Hennie | 69 |
| 5 | NILSSON Sven-Åke | 63 |
| 6 | GILSON Roger | 70 |
| 7 | SCHMID Iwan | 64 |
| 10 | DEMEYER Marc | 85 |
| 16 | FAGERLUND Lennart | 64 |
| 19 | PRIM Tommy | 76 |
| 22 | HANSSON Leif | 77 |
| 25 | DIDIER Lucien | 67 |
| 29 | THALMANN Robert | 75 |
| 38 | SWERTS Roger | 75 |
| 41 | KIRCHEN Erny | 74 |
| 43 | KARSTENS Gerben | 74 |
| 46 | PRIEM Cees | 75 |
| 50 | DUCREUX Daniel | 65 |