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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGNATIEV Mikhail | 67 |
| 2 | PICHOT Alexandre | 72 |
| 3 | TERPSTRA Niki | 75 |
| 4 | GILBERT Philippe | 75 |
| 5 | BOONEN Tom | 82 |
| 6 | TURGOT Sébastien | 73 |
| 7 | STEELS Stijn | 78 |
| 8 | GAVAZZI Francesco | 65 |
| 9 | KAMYSHEV Arman | 67 |
| 10 | ROELANDTS Jürgen | 78 |
| 11 | PETIT Adrien | 80 |
| 12 | JANSE VAN RENSBURG Reinardt | 74 |
| 13 | VANMARCKE Sep | 77 |