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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 3 | PEERS Chris | 73 |
| 4 | OMLOOP Geert | 78 |
| 6 | ROESEMS Bert | 81 |
| 7 | DE JONGH Steven | 76 |
| 8 | DETILLOUX Christophe | 62 |
| 11 | KOERTS Jans | 78 |
| 12 | CRUZ Antonio | 66 |
| 14 | PRONK Matthé | 73 |
| 18 | BALČIŪNAS Linas | 90 |
| 19 | SIVAKOV Alexei | 72 |
| 20 | SILOVS Juris | 79 |