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 = -3.1 * weight + 249
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRACKE Ferdinand | 79 |
| 5 | JANSSEN Jan | 76 |
| 10 | ANQUETIL Jacques | 70 |
| 13 | POULIDOR Raymond | 71 |
| 14 | STEEVENS Harry | 73 |
| 16 | SWERTS Roger | 75 |
| 26 | GODEFROOT Walter | 73 |
| 36 | DOLMAN Evert | 71 |
| 39 | KARSTENS Gerben | 74 |
| 54 | PFENNINGER Louis | 70 |