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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARDIQUEST Louis | 72 |
| 2 | CAÑARDO Mariano | 77 |
| 3 | MOERENHOUT Jef | 72 |
| 4 | PIEMONTESI Domenico | 80 |
| 5 | FIGUERAS Isidro | 70 |
| 5 | BACHERO Vicente | 64 |
| 5 | MONTERO Luciano | 74 |
| 5 | CARDONA Salvador | 68 |
| 5 | ELYS Cipriano | 65 |
| 5 | DIGNEF Antoon | 70 |
| 5 | INTCIGARAY Jean-Baptiste | 81 |
| 18 | GRANDI Allegro | 69 |