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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOECKLER Thomas | 71 |
| 3 | CHARTEAU Anthony | 67 |
| 5 | VAN GOOLEN Jurgen | 70 |
| 8 | COENEN Johan | 67 |
| 10 | COMMEYNE Davy | 70 |
| 13 | STEURS Geert | 77 |
| 20 | LE MÉVEL Christophe | 61 |
| 21 | CAETHOVEN Steven | 67 |
| 22 | CAPPELLE Andy | 71 |
| 28 | GARDEYN Gorik | 75 |
| 29 | BOONEN Tom | 82 |
| 38 | PORTAL Nicolas | 70 |
| 46 | VAN HUFFEL Wim | 66 |