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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGQVIST Marcus | 73 |
| 2 | TURPIN Ludovic | 57 |
| 3 | CASAR Sandy | 63 |
| 4 | KRISTENSEN Lennie | 70 |
| 5 | AGNOLUTTO Christophe | 69 |
| 7 | CLAIN Médéric | 59 |
| 8 | LJUNGBLAD Jonas | 70 |
| 9 | RIGHI Daniele | 70 |
| 13 | PIDGORNYY Ruslan | 72 |
| 14 | AUGÉ Stéphane | 65 |
| 15 | TESSIER Jean-Michel | 70 |
| 16 | DESSEL Cyril | 63 |
| 17 | SCHEIRLINCKX Staf | 78 |
| 18 | MITCHELL Glen | 70 |
| 19 | MOREAU Christophe | 71 |