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 = 1.6 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KARSTENS Gerben | 74 |
| 4 | DOLMAN Evert | 71 |
| 5 | PEFFGEN Wilfried | 67 |
| 23 | SCHUTZ Edy | 72 |
| 30 | VAN IMPE Lucien | 59 |
| 32 | ABRAHAMIAN Stéphane | 57 |
| 39 | BALMAMION Franco | 67 |
| 41 | POULIDOR Raymond | 71 |
| 42 | GIMONDI Felice | 78 |
| 49 | SWERTS Roger | 75 |
| 54 | MERCKX Eddy | 74 |
| 56 | VIANELLI Pierfranco | 73 |
| 62 | HARRISON Derek | 73 |
| 72 | JANSSEN Jan | 76 |
| 80 | BRACKE Ferdinand | 79 |