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 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUITRAGO Santiago | 59 |
| 2 | CEPEDA Jefferson Alexander | 56 |
| 3 | SIVAKOV Pavel | 70 |
| 4 | HAIG Jack | 67 |
| 5 | CARR Simon | 66 |
| 6 | PARET-PEINTRE Valentin | 52 |
| 7 | GEOGHEGAN HART Tao | 65 |
| 8 | GAROSIO Andrea | 58 |
| 9 | SAMITIER Sergio | 63 |
| 10 | SCHÖNBERGER Sebastian | 64 |