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 = -2.1 * weight + 209
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | TRAPÈ Livio | 75 |
| 17 | MEALLI Bruno | 73 |
| 33 | GAUL Charly | 64 |
| 37 | VAN LOOY Rik | 73 |
| 45 | ERNZER Marcel | 69 |
| 50 | DAEMS Emile | 64 |
| 69 | DÍAZ Ventura | 72 |
| 80 | BARIVIERA Vendramino | 72 |
| 84 | BALMAMION Franco | 67 |
| 92 | BAILETTI Antonio | 70 |
| 98 | TONUCCI Giuseppe | 68 |
| 104 | THULL Roger | 70 |