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 = 0.6 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DAEMS Emile | 64 |
| 26 | MEALLI Bruno | 73 |
| 32 | TRAPÈ Livio | 75 |
| 33 | BARIVIERA Vendramino | 72 |
| 56 | BALMAMION Franco | 67 |
| 56 | ERNZER Marcel | 69 |
| 56 | GAUL Charly | 64 |
| 56 | THULL Roger | 70 |
| 56 | VAN LOOY Rik | 73 |
| 111 | BAILETTI Antonio | 70 |
| 114 | TONUCCI Giuseppe | 68 |
| 117 | DÍAZ Ventura | 72 |