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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HOLMES Wil | 64 |
| 5 | CONNAN Matthew | 61 |
| 6 | BAUDRY Julian | 64 |
| 7 | HADDEN Nate | 68 |
| 10 | TOMKINSON Tyler | 61 |
| 12 | CRANAGE Joshua | 63 |
| 13 | WALSH Finn | 64 |
| 15 | HEATH Will | 63 |
| 17 | MCGOVERN Mitchell | 70 |
| 18 | SMITH Jeremy | 58 |
| 21 | MCROBBIE Finlay | 66 |