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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CORT Magnus | 68 |
| 3 | BAK Lars Ytting | 76 |
| 4 | LIGTHART Pim | 72 |
| 5 | COQUARD Bryan | 59 |
| 6 | MODOLO Sacha | 67 |
| 7 | DEHAES Kenny | 73 |
| 8 | FARRAR Tyler | 73 |
| 9 | MARKUS Barry | 75 |
| 10 | PERON Andrea | 70 |
| 11 | HUNTER Robert | 72 |
| 12 | DEBUSSCHERE Jens | 77 |
| 13 | LAMPAERT Yves | 75 |