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 = -0.9 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIER Armin | 69 |
| 2 | ZBERG Beat | 72 |
| 3 | CAMENZIND Oscar | 62 |
| 4 | JÄRMANN Rolf | 73 |
| 5 | MEIER Roland | 60 |
| 8 | SCHNIDER Daniel | 65 |
| 10 | BEUCHAT Roger | 62 |
| 15 | MOOS Alexandre | 64 |
| 39 | ZUCCONI Pietro | 63 |