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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POPOVYCH Yaroslav | 64 |
| 2 | KASHECHKIN Andrey | 70 |
| 3 | VAN GOOLEN Jurgen | 70 |
| 4 | SCHUMACHER Stefan | 71 |
| 5 | LHUILLIER Régis | 69 |
| 6 | ELIJZEN Michiel | 80 |
| 7 | TEN DAM Laurens | 67 |
| 8 | GILING Bas | 72 |
| 9 | GESLIN Anthony | 68 |
| 10 | SUTHERLAND Rory | 75 |
| 13 | COMMEYNE Davy | 70 |