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 = -24.8 * weight + 2172
This means that on average for every extra kilogram weight a rider loses -24.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POULIDOR Raymond | 71 |
| 4 | BRACKE Ferdinand | 79 |
| 5 | ROSIERS Roger | 78 |
| 6 | PIJNEN René | 72 |
| 7 | JANSSEN Jan | 76 |
| 9 | VASSEUR Alain | 67 |
| 13 | PFENNINGER Louis | 70 |
| 16 | DALER Jiří | 85 |
| 18 | GODEFROOT Walter | 73 |
| 990 | KARSTENS Gerben | 74 |
| 990 | ABRAHAMIAN Stéphane | 57 |
| 990 | SCHLECK Johny | 72 |
| 990 | DIERICKX André | 74 |
| 990 | NIJDAM Henk | 75 |