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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATÉ Luis Ángel | 68 |
| 2 | BUFFAZ Mickaël | 64 |
| 3 | VALVERDE Alejandro | 61 |
| 4 | ROSENDO Jesús | 66 |
| 5 | MENCHOV Denis | 65 |
| 6 | TAARAMÄE Rein | 68 |
| 7 | LAGUTIN Sergey | 68 |
| 8 | IZAGIRRE Gorka | 66 |
| 9 | AZANZA Jorge | 68 |
| 10 | SCHLECK Fränk | 65 |