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 = 1.1 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRIGUEZ Fred | 68 |
| 3 | JULICH Bobby | 68 |
| 6 | STEELS Tom | 73 |
| 7 | OZERS Kaspars | 73 |
| 14 | MILLER Graeme | 72 |
| 16 | VERHEYEN Geert | 68 |
| 19 | HAMILTON Tyler | 65 |
| 20 | VERSTREPEN Johan | 66 |
| 25 | HEGG Steve | 70 |
| 29 | ELLIOTT Malcolm | 76 |
| 42 | YATES Sean | 74 |
| 44 | LIVINGSTON Kevin | 70 |