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 + 26
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOIVIN Guillaume | 78 |
| 4 | VIVIANI Elia | 67 |
| 5 | LACOMBE Keven | 81 |
| 10 | UBETO Miguel Armando | 60 |
| 24 | BELDA David | 53 |
| 31 | ROTH Ryan | 70 |
| 55 | GILBERT Martin | 73 |
| 76 | CHACÓN José Isidro | 63 |
| 104 | LAMBERT-LEMAY Simon | 81 |
| 105 | DE MARCHI Alessandro | 65 |