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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUDER Jeff | 73 |
| 5 | LEIPHEIMER Levi | 62 |
| 6 | HELMINEN Matti | 74 |
| 7 | O'NEILL Nathan | 72 |
| 8 | CHADWICK Glen Alan | 75 |
| 10 | MENZIES Karl | 86 |
| 11 | BERTOGLIATI Rubens | 73 |
| 13 | TUFT Svein | 77 |
| 15 | HESJEDAL Ryder | 73 |
| 16 | VITORIA David | 74 |