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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEGERSALL Alf | 65 |
| 3 | YATES Sean | 74 |
| 4 | LILHOLT Søren | 72 |
| 13 | BARONCHELLI Gianbattista | 72 |
| 19 | GIUPPONI Flavio | 60 |
| 20 | NILSSON Sven-Åke | 63 |
| 28 | PRIM Tommy | 76 |
| 32 | HANNUS Harry | 76 |
| 36 | JØRGENSEN Per Sandahl | 78 |