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 = 2.6 * weight + 648
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERRERA Luis Alberto | 57 |
| 3 | KELLY Sean | 77 |
| 990 | DOMÍNGUEZ Manuel Jorge | 67 |
| 990 | PAGNIN Roberto | 74 |
| 990 | EARLEY Martin | 62 |
| 990 | DELGADO Pedro | 64 |
| 990 | ARGENTIN Moreno | 66 |
| 990 | FIGNON Laurent | 67 |
| 990 | FERNÁNDEZ Juan | 68 |
| 990 | WELTZ Johnny | 65 |
| 990 | LILHOLT Søren | 72 |
| 990 | VILAMAJO Jaime | 70 |