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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAST Grégory | 80 |
| 3 | CAMENZIND Oscar | 62 |
| 4 | MOOS Alexandre | 64 |
| 5 | ELMIGER Martin | 73 |
| 6 | ZAMPIERI Steve | 62 |
| 7 | JEKER Fabian | 72 |
| 8 | CANCELLARA Fabian | 80 |
| 9 | DUFAUX Laurent | 60 |
| 10 | SCHNIDER Daniel | 65 |
| 12 | TSCHOPP Johann | 62 |
| 14 | STRAUSS Marcel | 69 |
| 15 | LOOSLI David | 71 |
| 17 | ALBASINI Michael | 65 |