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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POGAČAR Tadej | 66 |
| 2 | LANDA Mikel | 61 |
| 3 | RODRÍGUEZ Carlos | 67 |
| 4 | BUITRAGO Santiago | 59 |
| 5 | GEOGHEGAN HART Tao | 65 |
| 6 | SIVAKOV Pavel | 70 |
| 7 | CARUSO Damiano | 67 |
| 8 | MAS Enric | 61 |
| 9 | HAIG Jack | 67 |
| 10 | CEPEDA Jefferson Alveiro | 61 |
| 11 | NARVÁEZ Jhonatan | 65 |
| 12 | WELLENS Tim | 71 |
| 13 | KRON Andreas | 63 |
| 14 | BENNETT George | 58 |
| 15 | MAJKA Rafał | 62 |