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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MENCHOV Denis | 65 |
| 2 | VERBRUGGHE Rik | 70 |
| 3 | MCGEE Bradley | 72 |
| 4 | SASTRE Carlos | 61 |
| 5 | DANIELSON Tom | 58.5 |
| 6 | PLAZA Rubén | 77 |
| 7 | HERAS Roberto | 59 |
| 8 | BERNABÉU David | 66 |
| 9 | BOTERO Santiago | 75 |
| 10 | SIMONI Gilberto | 59 |
| 11 | VANDE VELDE Christian | 69 |
| 12 | PÉREZ Francisco | 76 |
| 13 | VICIOSO Ángel | 60 |
| 14 | VILA Francisco Javier | 67 |
| 15 | GUTIÉRREZ José Iván | 71 |