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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALTON Brian | 68 |
| 2 | SYPYTKOWSKI Andrzej | 76 |
| 3 | MILLER Graeme | 72 |
| 4 | MARTINELLO Silvio | 71 |
| 6 | LUNGHI Denis | 61 |
| 7 | GATES Nick | 71 |
| 11 | SACCHI Fabio | 68 |
| 12 | O'NEILL Nathan | 72 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 14 | DAVIS Allan | 73 |
| 16 | MITCHELL Glen | 70 |