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 = 41.9 * weight - 2602
This means that on average for every extra kilogram weight a rider loses 41.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIJNEN René | 72 |
| 3 | VASSEUR Alain | 67 |
| 4 | PFENNINGER Louis | 70 |
| 5 | JANSSEN Jan | 76 |
| 14 | ABRAHAMIAN Stéphane | 57 |
| 17 | SCHLECK Johny | 72 |
| 20 | NIJDAM Henk | 75 |
| 990 | KARSTENS Gerben | 74 |
| 990 | DALER Jiří | 85 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | ROSIERS Roger | 78 |
| 990 | POULIDOR Raymond | 71 |
| 990 | DIERICKX André | 74 |