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 = -1.7 * weight + 149
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | BRACKE Ferdinand | 79 |
| 4 | ANQUETIL Jacques | 70 |
| 11 | JANSSEN Jan | 76 |
| 20 | PFENNINGER Louis | 70 |
| 33 | PEFFGEN Wilfried | 67 |
| 39 | ABRAHAMIAN Stéphane | 57 |
| 41 | HARRISON Derek | 73 |
| 61 | GODEFROOT Walter | 73 |
| 82 | BALMAMION Franco | 67 |