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 = -50.5 * weight + 4646
This means that on average for every extra kilogram weight a rider loses -50.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ROSIERS Roger | 78 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | DE VLAEMINCK Roger | 74 |
| 990 | SERCU Patrick | 76 |
| 990 | STEEVENS Harry | 73 |
| 990 | SWERTS Roger | 75 |
| 990 | DIERICKX André | 74 |
| 990 | GODEFROOT Walter | 73 |
| 990 | VAN LOOY Rik | 73 |
| 990 | DOLMAN Evert | 71 |
| 990 | SCHLECK Johny | 72 |
| 990 | PFENNINGER Louis | 70 |