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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERSTRAETEN Jan | 65 |
| 2 | SIJMENS Nico | 69 |
| 3 | CAPPELLE Andy | 71 |
| 4 | MURAVYEV Dmitriy | 75 |
| 5 | GARDEYN Gorik | 75 |
| 6 | TEN DAM Laurens | 67 |
| 8 | KUYCKX Jan | 68 |
| 12 | MUTSAARS Ronald | 67 |
| 13 | VAN GOOLEN Jurgen | 70 |
| 17 | VANSUMMEREN Johan | 79 |
| 18 | EFIMKIN Alexander | 70 |
| 19 | WILLEMS Frederik | 67 |
| 24 | FOTHEN Markus | 71 |