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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIMMERMANN Georg | 70 |
| 2 | HIRSCHI Marc | 61 |
| 3 | SALMON Martin | 59 |
| 4 | HORVAT Žiga | 70 |
| 5 | LAMBRECHT Bjorg | 56 |
| 6 | CARVALHO André | 66 |
| 7 | GALL Felix | 66 |
| 8 | BURGAUDEAU Mathieu | 61 |
| 9 | VERWILST Aaron | 68 |
| 10 | CONCI Nicola | 68 |
| 11 | EEKHOFF Nils | 75 |
| 14 | HALLER Patrick | 68 |