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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠIŠKEVIČIUS Evaldas | 80 |
| 3 | BOECKMANS Kris | 76 |
| 5 | GUARDINI Andrea | 66 |
| 6 | DE BUYST Jasper | 72 |
| 7 | MCLAY Daniel | 72 |
| 8 | COQUARD Bryan | 59 |
| 9 | HIVERT Jonathan | 62 |
| 10 | LATOUR Pierre | 66 |
| 11 | BARBIER Rudy | 79 |
| 12 | BAUHAUS Phil | 75 |
| 13 | SCHORN Daniel | 72 |
| 14 | VAN LERBERGHE Bert | 83 |
| 16 | MATZKA Ralf | 69 |