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 = -1.9 * weight + 176
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GIMONDI Felice | 78 |
| 5 | BALMAMION Franco | 67 |
| 17 | MEALLI Bruno | 73 |
| 43 | BARIVIERA Vendramino | 72 |
| 46 | BAILETTI Antonio | 70 |
| 53 | ANDREOLI Severino | 73 |
| 67 | ZANIN Mario | 74 |
| 73 | VIGNA Marino | 67 |