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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | O'NEILL Nathan | 72 |
| 4 | JONKER Patrick | 69 |
| 5 | GERRANS Simon | 62 |
| 8 | O'GRADY Stuart | 73 |
| 9 | EVANS Cadel | 64 |
| 11 | HAYMAN Mathew | 78 |
| 13 | DOWNING Russell | 64 |
| 15 | SUNDERLAND Scott | 65 |
| 17 | GATES Nick | 71 |
| 18 | DAVIS Allan | 73 |
| 23 | HUNT Jeremy | 76 |