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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | PINTO Edgar | 58 |
| 3 | BARBERO Carlos | 66 |
| 4 | FERNÁNDEZ Delio | 69 |
| 5 | FONTE César | 60 |
| 7 | ANTUNES Amaro | 58 |
| 9 | JENSEN August | 67 |
| 10 | SILVA Rafael | 65 |
| 11 | PRADES Eduard | 63 |
| 12 | RAGONESSI José | 67 |
| 14 | BRAVO Garikoitz | 61 |