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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 3 | ALZATE Carlos | 74 |
| 5 | FLAKSIS Andžs | 79 |
| 7 | POWLESS Neilson | 67 |
| 13 | STRICKLAND Colin | 75 |
| 14 | PERRY Benjamin | 71 |
| 22 | CLARKE Jonathan | 68 |
| 23 | MCCABE Travis | 72 |