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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIZKARRA Mikel | 53 |
| 2 | BRAVO Garikoitz | 61 |
| 3 | ROSÓN Jaime | 62 |
| 5 | MORENO Javier | 63 |
| 6 | QUÉMÉNEUR Perrig | 67 |
| 7 | LOZANO David | 63 |
| 8 | ABERASTURI Jon | 69 |
| 9 | MANCEBO Francisco | 64 |
| 10 | CUBERO Jorge | 65 |
| 11 | TAARAMÄE Rein | 73 |
| 12 | SMUKULIS Gatis | 72 |
| 13 | BARBERO Carlos | 66 |
| 14 | LAMMERTINK Steven | 68 |
| 16 | AGUIRRE Hernán Ricardo | 55 |
| 17 | GARCÍA Ricardo | 68 |