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 - 111
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VIVIANI Elia | 67 |
| 45 | BELDA David | 53 |
| 46 | UBETO Miguel Armando | 60 |
| 48 | CHACÓN José Isidro | 63 |
| 54 | ROTH Ryan | 70 |
| 78 | DE MARCHI Alessandro | 65 |
| 97 | LAMBERT-LEMAY Simon | 81 |
| 103 | BOIVIN Guillaume | 78 |
| 104 | GILBERT Martin | 73 |
| 105 | LACOMBE Keven | 81 |