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 - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTENSEN Martin | 70 |
| 2 | NAIBO Carl | 62 |
| 4 | CUSIN Rémi | 65 |
| 8 | OOSTLANDER Sander | 78 |
| 9 | VANDBORG Brian Bach | 75 |
| 10 | HOUANARD Steve | 70 |
| 12 | GALIMZYANOV Denis | 75 |
| 13 | INAUDI Nicolas | 67 |
| 20 | JUODVALKIS Egidijus | 73 |