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 = 4.6 * weight - 264
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERRERA Luis Alberto | 57 |
| 3 | FIGNON Laurent | 67 |
| 4 | DELGADO Pedro | 64 |
| 22 | EARLEY Martin | 62 |
| 42 | WELTZ Johnny | 65 |
| 51 | LILHOLT Søren | 72 |
| 62 | DOMÍNGUEZ Manuel Jorge | 67 |
| 70 | FERNÁNDEZ Juan | 68 |
| 73 | VILAMAJO Jaime | 70 |