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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | MCEWEN Robbie | 67 |
| 3 | KLIER Andreas | 72 |
| 4 | AEBERSOLD Niki | 58 |
| 5 | IVANOV Sergei | 73 |
| 6 | O'GRADY Stuart | 73 |
| 8 | DE JONGH Steven | 76 |
| 11 | BÄCKSTEDT Magnus | 94 |
| 12 | VERHEYEN Geert | 68 |
| 15 | WADECKI Piotr | 70 |
| 16 | HALGAND Patrice | 67 |
| 17 | JALABERT Nicolas | 68 |
| 19 | ETXEBARRIA Unai | 68 |