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 = -1.4 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | BRACKE Ferdinand | 79 |
| 5 | ROSIERS Roger | 78 |
| 11 | SWERTS Roger | 75 |
| 15 | KARSTENS Gerben | 74 |
| 25 | VASSEUR Alain | 67 |
| 26 | VAN IMPE Lucien | 59 |
| 27 | TSCHAN Jürgen | 68 |
| 28 | DOLMAN Evert | 71 |
| 29 | SCHLECK Johny | 72 |
| 36 | KREKELS Jan | 73 |
| 45 | BILSLAND William | 73 |
| 49 | JANSEN Harrie | 70 |