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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | PEDERSEN Mads | 76 |
| 3 | ACKERMANN Pascal | 78 |
| 4 | MERLIER Tim | 76 |
| 5 | TEUNISSEN Mike | 73 |
| 6 | HOOLE Daan | 81 |
| 7 | MCLAY Daniel | 72 |
| 8 | HAYTER Ethan | 70 |
| 9 | EINHORN Itamar | 72 |
| 10 | STEWART Jake | 66 |
| 11 | DEGENKOLB John | 82 |
| 12 | GROVES Kaden | 76 |
| 13 | CANAL Carlos | 70 |
| 14 | BEULLENS Cedric | 79 |
| 15 | VAN POPPEL Danny | 82 |
| 16 | EVENEPOEL Remco | 61 |