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 - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 2 | VELITS Martin | 70 |
| 3 | BOLE Grega | 69 |
| 4 | ŠPILAK Simon | 68 |
| 5 | SEELDRAEYERS Kevin | 60 |
| 6 | BOOM Lars | 75 |
| 8 | SCHLECK Andy | 68 |
| 11 | ROELANDTS Jürgen | 78 |
| 12 | LEEZER Tom | 76 |