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 + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELOOR Gustaaf | 79 |
| 2 | CAÑARDO Mariano | 77 |
| 3 | DIGNEF Antoon | 70 |
| 4 | MOLINAR Edoardo | 70 |
| 5 | BULLA Max | 75 |
| 6 | DELOOR Alfons | 72 |
| 8 | FAYOLLE Fernand | 63 |
| 9 | BLATTMANN Walter | 68 |
| 11 | CARDONA Salvador | 68 |
| 12 | AMBERG Leo | 72 |
| 13 | GIMENO Juan | 73 |
| 14 | VAN DER RUIT Gerrit | 80 |
| 16 | BACHERO Vicente | 64 |
| 17 | CEPEDA Francisco | 64 |
| 20 | MOLINA Salvador | 62 |
| 21 | FIGUERAS Isidro | 70 |
| 25 | THALLINGER Karl | 70 |