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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAMENZIND Oscar | 62 |
| 4 | MEIER Roland | 60 |
| 5 | ZBERG Beat | 72 |
| 6 | SGAMBELLURI Roberto | 63 |
| 7 | MEIER Armin | 69 |
| 8 | CAÑADA David | 65 |
| 9 | BETTINI Paolo | 58 |
| 10 | DIAZ Rafael | 55 |
| 13 | BOOGERD Michael | 62 |
| 18 | ETXEBARRIA David | 55 |