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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MACHADO Tiago | 63 |
| 2 | MARTIN Tony | 75 |
| 3 | HAUSSLER Heinrich | 74 |
| 4 | MEERSMAN Gianni | 63 |
| 5 | VANDEWALLE Kristof | 74 |
| 6 | TERPSTRA Niki | 75 |
| 7 | KREDER Michel | 67 |
| 8 | GAVAZZI Francesco | 65 |
| 9 | KONOVALOVAS Ignatas | 74 |
| 10 | VAN AVERMAET Greg | 74 |
| 11 | VAN VOOREN Steven | 75 |