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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALLEGO Alberto | 62 |
| 2 | ISIDORO Micael | 63 |
| 3 | AFONSO Luis | 56 |
| 4 | MAGALHAES Samuel | 70 |
| 5 | VAZ Hugo | 63 |
| 6 | RODRIGUES Rui Emanuel | 69 |
| 7 | PINTO Edgar | 58 |
| 8 | LEBAS Thomas | 65 |
| 9 | SIMÓN Jordi | 64 |
| 12 | FERNÁNDEZ Delio | 69 |
| 13 | RAGONESSI José | 67 |