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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | MERLIER Tim | 76 |
| 3 | WIPPERT Wouter | 75 |
| 4 | DUPONT Timothy | 72 |
| 5 | MINALI Riccardo | 74 |
| 6 | COQUARD Bryan | 59 |
| 7 | WELTEN Bram | 81 |
| 8 | JANS Roy | 68 |
| 9 | LAPORTE Christophe | 76 |
| 10 | NOPPE Christophe | 73 |
| 11 | BIERMANS Jenthe | 78 |
| 12 | DE BIE Sean | 65 |
| 13 | MANNAERTS Jelle | 73 |