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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAK Lars Ytting | 76 |
| 2 | SENTJENS Roy | 75 |
| 7 | GARDEYN Gorik | 75 |
| 10 | VANLANDSCHOOT James | 67 |
| 11 | CARRARA Matteo | 67 |
| 13 | CAPPELLE Andy | 71 |
| 14 | BOONEN Tom | 82 |
| 16 | TRAKSEL Bobbie | 72 |
| 18 | VERSTRAETEN Jan | 65 |
| 20 | STEEGMANS Gert | 82 |
| 25 | VAN GOOLEN Jurgen | 70 |