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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHNIDER Daniel | 65 |
| 2 | BEUCHAT Roger | 62 |
| 3 | AEBERSOLD Niki | 58 |
| 4 | CAMENZIND Oscar | 62 |
| 5 | ZBERG Beat | 72 |
| 7 | ZUCCONI Pietro | 63 |
| 9 | LOOSLI David | 71 |
| 11 | ZBERG Markus | 69 |
| 13 | ELMIGER Martin | 73 |
| 14 | MOOS Alexandre | 64 |
| 21 | DIETZIKER Andreas | 67 |
| 24 | TSCHOPP Johann | 62 |
| 27 | SCHWAB Hubert | 65 |