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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLAPP Luke | 72 |
| 2 | HARPER Chris | 67 |
| 3 | O'BRIEN Kelland | 79 |
| 4 | SCHULTZ Elliot | 62 |
| 5 | HAMILTON Chris | 70 |
| 6 | WALSH Liam | 80 |
| 7 | CLARKE Simon | 63 |
| 8 | HAMILTON Lucas | 71 |
| 9 | EARLE Nathan | 70 |
| 12 | EVANS Alexander | 63 |
| 16 | PORTER Rudy | 66 |
| 17 | STORER Michael | 63 |
| 18 | SCOTSON Miles | 76 |