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 = -1.9 * weight + 161
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | POULIDOR Raymond | 71 |
| 5 | GIMONDI Felice | 78 |
| 8 | JANSSEN Jan | 76 |
| 10 | BRACKE Ferdinand | 79 |
| 15 | SCHUTZ Edy | 72 |
| 17 | VIANELLI Pierfranco | 73 |
| 20 | VAN IMPE Lucien | 59 |
| 28 | KARSTENS Gerben | 74 |
| 31 | BALMAMION Franco | 67 |
| 33 | HARRISON Derek | 73 |
| 48 | SWERTS Roger | 75 |
| 60 | PEFFGEN Wilfried | 67 |
| 68 | ABRAHAMIAN Stéphane | 57 |
| 70 | DOLMAN Evert | 71 |